A week of siblings: Parenting

As a mid-month update, our big parenting news is that instead of having an experiment of one, we have an experiment of a pair. We have of course been using books to get T used to the idea that mei-mei (little sister) was coming, and reading books with him about being a big brother, and letting him feel mei-mei in mommy's belly, and helping in the preparations for mei-mei's arrival.


But with all of this we have always wondered if he really understood it (other than those times where he clearly figured out that having a little sister would mean that there is less for him). Well, now she is here. At this point it is a lot of excitement to have something new and small in the house. One of the most vivid memory he has of mei-mei first night back was of her pooping (for the first couple days, newborn poop is black meconium, and she was pooping during a diaper change so he got to see it.)
 

There is definitely an element of excitement. And there are things he can do, like read books for mei-mei. And he likes to take pictures of mei-mei.



And pictures with his new little sister.




He has figured out that he now has competition for that scarce resource called mother's time. So we notice that the house is a little louder now with him talking very loudly, making sure he has people's attention. We have him sleeping with daddy every night now (he has never been a good sleeper) and there were a couple nights where he wanted to go with mommy, but that has ended (with the realization that it is very easy to bargain daddy up to five books at bed time instead of only two or three) But, at the one week point, big brother views little sister as a little doll that sometimes makes a bit of noise, and he remains very happy, if very talkative and loud. But mei-mei does not seem to mind either. So far so good.

The Human: War of the Seasons Book #1 by Janine Spendlove

The Human by Janine K. Spendlove
My rating: 4 of 5 stars

The Human is about a 17 year old named Story, who has lost her family and has been spending some time driving away her friends. While spelunking with her remaining friend she goes through a portal and comes out into a world where the once immortal race of elves is slowly dying away and as a human she holds the key to ending their curse.

The story aside, the book is about a lonely and somewhat socio-phobic young adult thrust into a fantastic setting. And while physically competent as a young adult (she is a spelunker, and good with a knife and bow), the people she meets in this new world are wise to the ways of the world, cunning and remorseless. And her wits are not helpful and her people skills are not much better in this setting. So The Human is her learning how to deal with others instead of being the outcast teenager she was. She learns (mostly by mistakes) about reading people, of considering the motivations of others, of having trust betrayed, and trust rewarded. She has relationships that are purely manipulative, some that are genuine care, some that are sacrificial, and even one that is without any agenda. And as she goes from an isolated teenager into a young adult with a range of relationships, her view of the world and her place in it grows.

There is a romance in the book with the female protagonist. But I appreciate the fact that she had a chance to become competent as a person (both in skills and how she related towards others) and other aspects of her growth were more important than the relationship for most of the book. And that this growth is what made her attractive to the other person in the end.

This was an engrossing story. I liked following the main character's growth as a person, and how it fits in with the overall story. I'm looking forward to the other books in this series.

View all my reviews

Notes from teaching data science for the first time

Drew Conway Data Science Venn Diagam

I spent this past semester teaching a course in data science. While there has been a data mining course taught in the department, it is offered irregularly and had a different focus.  The premise for the course I taught was that data science was the intersection of data hacking, mathematical and statistical methods, and domain knowledge (with props to Drew Conway). The students I had generally had little to no programming experience (or meaningless background). All have had a first course in statistics.

I used two texts. First was Stanton Introduction to Data Science, which is used in the Syracuse Data Science certificate program.  Second was Introduction to Data Mining with R by Luis Turgo.  All of the students were also told to go through Introduction to R prior to the beginning of the course (or as early as possible).

The class started off going through Introduction to Data Science, which included a few introductory chapters to data analysis, and introduction to R and the R Studio IDE.  Then were chapters on some basic methods at the basic level such as text processing, review of regression.  Then additional methods such as association rules and support vector machines.  We then switched to Data Mining with R which were a series of case studies.  Each case study had some form of data munging (manipulation) required, with the first one having an involved demonstration of how to handle missing values, either determining the correct value or removing as appropriate.  Each case also had a lengthy discussion of the methodologies used, with what each is being used for and a basic understanding of how it worked and its implementation using libraries in use with R (there is a book package, but it has mostly data sets and some functions to assist in data manipulation and visualization.

The assignments were built around individual projects. Their were three presentations, exploratory data analysis, preliminary data analysis, then final. The first two they could work together, but the final one had to be solo as they needed to have individual topics (even if they used the same data sets). The intent was that these assignments would build towards a final goal (but they had flexibility to bail if they wanted to mid-semester.

Probably 1/4 of the students found projects off of Kaggle, which is useful because it has a nice complex data set and comes with a legitimate question.  Another 1/4 of the students used public health as a motivating area (University of Pittsburgh is home to Project Tycho, which is a rich dataset of infectious disease in the U.S., also, there is a joint program with the Department of Industrial Engineering and the School of Public Health).

Some problems that came up. First, I discovered that many of the students had an operating assumption that all data was normally distributed, and they constantly made claims that their data was normal. Even when the data was noticeably skewed.  This was embarrassing when they would make statistical tests, and the test graphic would include the corresponding normal approximation which was nowhere near the data. I eventually figured out that for many of them, when they took statistics they were constantly fitting normal distributions in their homework data sets, so I explained that their textbook problems were written so that their would be a normal distribution to find.

Another problem was the lack of a hypothesis.  Many students started to pick problems that could be solved through linear regression and declared that because it met a p-value criteria they were done. (and in some cases, I recognized the data set as being a teaching data set). But even though they could fit a regression, there was no theory on why the data related in a given way. Essentially, they were pushing data through an algorithm without any subject understanding.  Most (not all) of them got the ideas by the end of the second presentation.

A third difficulty was skipping the model evaluation.  Most of the methods covered have some parameter that was the analysts choice, so they should have explained how they chose the value of that parameter.  Generally, this should have been a discussion of making the tradeoff between closely approximating the observed data and overfitting.  Some students skipped this completely (essentially, this is what would happen if you fed data to an algorithm then reported the result using all default values)

One big observation I had by the first presentation was being able to identify the level of programming ability by the choice of projects.  I strongly suspect that a number of students were minimizing the programming required.  But that became reflected in the level of ambition of the projects.  Non-programmers tended to choose simplistic data sets with little variety.  I think the difference is the workload.  People who could program were able to slice the data available on a multitude of dimensions without regard to scale, since the computer would do all the repetitious work, while those who could not program generally were reluctant to have large sample populations or multiple data sets on the same population.

Things for next time.  First, impress on them the need to learn to program.  Essentially, the projects from those who could program were so much richer than those who could not (even at a low level of programming skill) that I was embarrassed for those who could not program.  Second, I should push harder on the need to have a hypothesis that was driven by domain understanding of the problem. This should be pushed harder from the very beginning to discourage people from merely pushing data through statistical methods and reporting results.

For teaching data mining, I think that the organization of the course needs more methods focus. The principle text was case driven, but that meant that methods were being introduced in a fairly arbitrary sequence.  I ended up doing a methodology focused review over the last few weeks. What I should do next times is after the introductory section (Stanton Introduction to Data Science), have the next several lectures be a tour of the classes of data mining methods (regression, classification, clustering, feature selection), then do the case studies.  One resource I found useful in this are articles from the Journal of Statistical Software, many of which are focused on R packages that implement classes of methods.

This was a very good course. I wished that the students did more participation (by the final presentation, there were some points that were given based on shear quantity of comments, which several students took advantage of). Some of the projects were much more ambitious than any other done in the MS program. And I have a lot stronger argument about the need for the graduate students to know scientific programming as a skill set.

Data Mining with R by Luis Togo: Book review

Data Mining With R: Learning By Case Studies by Luís Torgo
My rating: 3 of 5 stars

Data Mining With R (DMwR) promotes itself as a book hat introduces readers to R as a tool for data mining. It teaches this through a set of five case studies, where each starts with data munging/manipulation, then introduces several data mining methods to apply to the problem, and a section on model evaluation and selection. It fills a place in the literature since it devotes a lot of space for data manipulation before applying the various methods and model evaluation afterwards. But it is hard for people learning data mining since it spreads the types of model throughout the book.

I used this as one of two texts to teach data science to people whose programming and data analysis skills were generally at a very low level. The big advantage of using a programming environment such as R for data mining is the fact that you can do data manipulation in the language, then apply the methods. Many of my students have taken machine learning elsewhere, but they always used prepared data sets, so this emphasis on data manipulation with several very disparate data sets is a unique feature.

The second big advantage of this book is the focus on model selection. For each chapter, the book goes through the exercise of determining which model should be used, and how to diagnose the model to determine which one is appropriate and best for the problem. I especially appreciate the fact that in some cases, the conclusion of the book after model evaluation is that the method did not work for the problem and question at hand. Because most textbooks focus on demonstrating that you did find something, in some cases my students get confused when in real problems they did not find an effect.

Where the book is lacking is the fact that the methods are scattered across the case studies with minimal organization. While this is a result of the realities of the cases, the book would have benefited from a roadmap chapter or introduction that gave methodological context (i.e. what methodologies are used in the book and where they are). This lack made it very difficult to use as a textbook, and by the time I was done using it I was essentially building the roadmap to use the book. This makes it not useful as a standalone textbook for such a course, but very good if there is another text that gives the overview of the methodologies.

View all my reviews

Making a folding worktable

First project of the summer was a folding worktable. The workbench I made last year is nice, but it is currently in use as a table sitting in the landing. In principle, it can be moved to the garage or the back patio as needed. In practice, it is hard to see that happening without a major cleanup effort. So I wanted a larger worktable that was still portable. The Black & Decker Workmate is too light for the task, and the sawbench I have is too small and low (but it is good for variety, and I still will need somewhere to sit)

I am using the worktable design that is described in a series of YouTube videos by "LJ Magnum" (video is at bottom of the post). The structure is made up of 2x4's, so it is rugged and stable. The top is a pair 1x10 boards, so the top is fairly tough as well. The folding part is provided by 1" dowels, so it is stronger than it would be if I used hinges.

First the wood. Richard Arendt posted plans based on these videos at http://hiswordinwood.com/plans_and_tutorials. I needed two 8' 2x4's, one 8' 1x10, one 36"x1" dowel, Cut list is at the posted plans.

Next was cutting the legs and supports. 22.5 and 45 degree angles were needed so that the table will be stable when opened. I cut these using a jigsaw. A jigsaw going through 2x4s is pretty rough, so I went back over them with a oscillating multi-tool and a file and sandpaper afterwords. What I really need to do this is a circular saw.

Lumber cut by Home Depot

To drill in holes in the legs and tabletop supports I used a cordless drill and a drill guide. 1" holes through 2x4s was a pretty heavy burden on an 18V cordless drill. I had to use both batteries. If I have to do this again, a corded drill may be useful. It was the first time I used a drill guide, which worked pretty well. One thing I learned is that when drilling a hole, it always makes a mess at the end. So I learned to detect when the tip of the drill bit broke through, then flipped it around and finished it from the other side. I used a chisel to cut away the mess (which was now in the middle instead of the service of the 2x4) and I used a round file to smooth out the hole (and made sure my 1" dowel would go through).

Wolfcraft drill guide and cordless drill

I used the plans to assemble the legs and top supports. A long dowel when across the top with the inner support and the inner pair of legs. On each side, the two legs and the outer leg and outer support were each connected with a short piece of dowel. For each dowel on each side, one piece was screwed in, the other piece was free to rotate around the dowel.

Structural components of worktable

Finally, I put the top on. First, for each of the two 1x10 boards, I picked a side to be on top (the one with fewer pits around knots). Then I picked the sides that best fit each other, using a surefile to make the fit a bit better. Then I drove screws to attach them to the supports (and messed up which support went with which top along the way, so I had to redo one side)

Folded worktable top and front braces

The result is a folding worktable. It is pretty stable due to the mass of the 2x4s that make up the legs and top supports and the use of the 1" dowels as joints, more than a commercial folding worktable with metal legs and bolts for joints would be. And it is fairly large. The fact that it is about standard table height also means that it can be used as a table for other things, like a folding table for eating that is much more stable than the norm.

Completed worktable

Folded up worktable standing

I'm pretty happy with this one. Folds up nicely so I can put it out of the way, and stronger than most comparable folding tables. And I learned a few things while making it. A successful project.

Agile Data Science by Russell Jurney: Book review

Agile Data Science: Building Data Analytics Applications with Hadoop by Russell Jurney
My rating: 4 of 5 stars

One of the problems with data science is that any description of what is encountered takes on the appearance of a mythical unicorn, noone person could possibly have all of the skills required. And it gets worse when you add to the standard set of statistics, domain knowledge, and programming the ability to deploy the application into a high speed environment. This book is not going to make a data scientist an expert in running a data center, but it is useful to give someone who has the rest of the skills an understanding of the environment their work will be deployed into.

One of the conflicts between the data scientist/analyst and information technology groups is that while the data scientist gives the data owned by the organization its value, IT is charged with storing the data and providing the access. And in a high velocity, high volume environment of big data, not understanding how the architecture works can lead to the data scientist creating valid solutions that cannot be applied in the actual day to day working environment. That is where this book comes in. The book has associated virtual machines in software repository so that the data scientist who does not know anything about infrastructure and the software stack that the data and the analysis rides on can see how everything fits together.

The book title is misleading. This is not a book about data analytics. This is a book for data analysts so they know how their analytical application is deployed and applied to day-to-day use in enterprise environments. For that reason it is useful.

View all my reviews
Disclaimer: I received a free electronic copy of Agile Data Science as part of the Oreilly Press Blogger program.

Parenting Month 42: Gender roles for preschoolers

Making a birdbath at Home Depot

Earlier this month, a girl at church around the same age as T told him that he could not sing songs from Frozen because he is a boy.  Fortunately, his friends at daycare don't care so much about who is singing what.

When T was born, we did not care if T was going to be a boy or girl. When we were given clothes we did not care, figuring a baby can wear lots of pink stuff and not care (we do draw the line at wearing dresses though).  We always figured that kids develop gender roles on their own time, so we did not feel the need to hurry it along. And in the meantime, let him develop a range of interests.


But the reason for being deliberate about this is not because of the pre-school years, where things like dresses are merely cute. The issue comes when this is a pattern, when this becomes statements on what someone can and cannot do.  I was talking with an undergraduate whose senior research project I was mentoring about the need to not lose talent because of preconceived notions of what people could do.  Previously I've had those conversations with students about why diversity is important, to increase the pool of talent that can be drawn from (of course, if someone is doing something where there is no problem to find a mindless, unskilled workforce, I can see why diversity is not an issue).

What is the alternative?  When it can become acceptable to viewing entire categories of people as without value and as things unworthy of being considered of worth. When I was in grad school a friend commented that it was of no use to make friends with christian females because they would just get married and end any friendships.  Another friend viewed it as a profound act of disloyalty for believing that his girlfriends life was of value and responding to her calls for help in the backcountry. A pastor declared that a girl I was seeing as well as any other friend of mine were social freaks, while trying to convince me that I was romantically interested in a girl whom I never made it to the point where I could recognizing her name.

The alternative to rejecting gender roles, as presented in this middle-to-upper class American society is to claim that they have nothing to contribute to the wider world.  That there is no need to recognize that a person has views, ideas, thoughts because of her gender.  That there is no value in recognizing a person other than visually, because there is nothing there to learn.

Are there people who want it that way? Certainly. It was certainly promoted by some of my fellow graduate students.  I have heard it in churches, both Chicago and Pittsburgh.  And if there are people who want to be known only as a possession or as something to look at, it is their right.

But that is not the world that I live in. My world is one where the rarity of talent drives its economy. My professional world is one where I've been taught to think about developing talent over years, and things like childrearing are only a small part of that. And it certainly is not useful to think of entire classes of people as freaks or merely eye-candy without individual evaluation.

We had made a choice not to push gender roles before they are needed on our children. It means that they have choices on their interests, hobbies, and careers. And we hope that it means that they will surround themselves with people who they evaluate based on competence and depth of character and insight, not the surface actions of people who do not wish to be anything more than a figure to be viewed from a distance.

Parenting Month 41: Creativity and play

Part of the Carnegie International 2014 exhibition at the Carnegie Museum of Art (Pittsburgh) was The Playground Project, which focused on using playgrounds as a means for kids to learn free, unorganized play. The contrast is where kids only do organized play or where the play opportunities available are constricting and force the children into a small set of narrow paths. In the U.S. two outcomes that are apparent is the decline in physical fitness and the inability of many to create their own entertainment and remain solely as consumers of entertainment instead of creators.

One dichotomy that I do not think is very useful is to view the choice as between directed activity and leave the child alone.  The first fails because the learner takes no initiative, the second fails because an ignorant learner is not able to know what goals should be targeted, much less how to get there.  And this happens to be known to be true in every creative field, noone learns creativity to any level of skill outside of guided learning. In music, photography, drawing, painting, writing, etc. the art is taught through imitation, understanding how existing works were created, mastery of techniques, then applying those techniques to create something new.

One thing we've started doing is learning to play with LEGO.  The Duplo blocks that are targeted at the 2-4 set are large blocks that are useful as stacking toys, but their size limits greatly the amount of detail possible and the range of possibilities.  My son uses them like dolls, there are a few combinations he uses for certain animals, and he can do things that are based on stacking bricks on top of each other, but this is not creative play (except in the sense that playing with dolls is indeed imaginative). The standard LEGO bricks are the same, left to his own devices he probably would never get past building with LEGO by building up layers.

When I mention that my son is starting to play with LEGO, one question I get is if he is using bricks or sets (with Duplo it is generally plain bricks, with LEGO it is currently sets), followed by a tirade about how they only use bricks and not sets.  The problem is that it is missing the point.  The question should be not how the bricks are purchased, but what do the builders learn how to do. If the only thing a builder learns to do is stack layers of bricks, then that is not learning construction skills.  But if they learn techniques that they can then apply in other places, then they have learned something.

The question on getting sets is not basic bricks versus sets, but what do you learn along the way and how can the pieces that you can get be reused. My wife has noticed that in the sets we have gotten so far, even the specialized pieces get used in very different ways that are almost unrecognisable from each other. Similarly, steps in the instructions that consist of stacking pieces on top of each other he can already follow on his own.  What is not as easy for him are all of the other techniques, the methods used to provide strength, or methods that allow for changing the direction of build, or those that generate the appearance of detail.

That is what the good sets and the good books do.  Provide examples of techniques quite beyond the obvious building up layers of bricks.  So far, we have gotten a long way with not a very large number of sets (because we break them up regularly to get practice rebuilding them, and some sets get modified to allow for different types of play. [e.g. a hospital that has doubled as a school, restaurant and museum at various times])  Next, we do intend to get him a set of basic bricks, but that only works because will be combining it with the remnants of sets that provide a few specialized parts that enable a range of techniques that expand the range of what is possible and imaginable.

Parenting Month 40: Learning Chinese

This is shui

This month had a bit of excitement.  T had to go in for a minor exploratory surgery. Fortunately, it had the best possible outcome (i.e. did not find what we were afraid of). He actually did very well considering this involved not eating the day before. He was entertained by being with parents and grandparents all week, which for him makes up for any discomforts.

The bigger picture has been language and socialization. We've noticed that among his daycare classmates, those who were verbal in Chinese at 2 all have stopped speaking Chinese somewhere between 3 and 4. We're hoping that does not happen with T!

One thing we have noticed is that T english is getting to be much richer than his Chinese. It is not just home and school, it is books and videos as well.  His english books are more varied and have more constructions allowing for richer speech. And I can imagine that at this age, as they are just becoming expressive, it would be frustrating trying to speak in Chinese when your English is more capable. One thing we are trying is to find Chinese language media geared for pre-schoolers. Fun Fun Elmo recently came out with another set of episodes which we enjoy. We were amused when T was replaying some of the scenes, like one piece that involved a boy giving a tour of the house and pointing out everything. We think that a key point is that Chinese be something that he can do fun things with. And that will mean playing with toys, movies, comics, and friends.

He had his assessments at day care this week, and they told us is that he assesses ahead of his age, but he does not talk to people at school. Even looking at many of the items that are labeled as 'emergent', they are things he does at home, but he does not express them at day care.  Basically, he is an introvert like his parents, the question is if he can learn to express what he knows when it comes time for assessments like this in the future.

Mining the Social Web, 2nd ed by Matthew Russell: Book review

Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub, and More by Matthew A. Russell
My rating: 4 of 5 stars

The hardest part of learning a data analysis method is not in implementing the method, it is applying the method in the context of a real data problem. And data mining and machine learning texts often skirt the issue by using pre-processed data sets and problems defined to fit the method being taught. Russell uses analysis of social media sites to set a context where you start from having to gain access to real data sets, clean and transform the data into forms that your analytical libraries can make sense of, and then use the results to make a conclusion. For that, it rates a place along any other text that focuses more on the analytical methodology itself.

What I most appreciated about this book was the work put into converting data from one format to another. From the beginning, when he works with data pulled using a services API, then getting that into a format that another library requires, then getting those results into a data mining framework for analysis. Following his flow has helped me understand the methods better. And these examples of processing data from format to format is something that gets my students stuck before they get really started in a project. I especially appreciated the chapters that worked with the Natural Language Toolkit (NLTK) and the NetworkX graph libraries. These examples helped me get pass what was the hard part for me in working with these libraries in previous encounters.

The virtual machine is also very helpful. I have always found the hardest part of working with Python for analytic computing has been teaching my collaborators how to get set up. And in data mining this is even harder than standard. I was able to get through his book installing everything on one machine, but on another I used the author's virtual machine, and I have pointed a student who was working with me to the virtual machine as well.

This is a great book to work through the mess of implementing data mining methods in real situations. It is not a theory book, but it serves its purpose well.

Note: I received a free electronic copy of this book from the O'Reilly Press Blogger program.

View all my reviews

Parenting Month 39: The LEGOs are here.

The Curiosity Rover was exploring and found something.

A substantial part of the Christmas loot was in the form of LEGO, and we seem to have hit a critical mass so it gets a lot more play time. Now that we got a couple of larger sets, we hit critical mass in a couple of aspects. First, we have a number of pieces that you can make things. Duplo blocks are so large and there are a limited number of forms (2X2, 4X2, 2X1 tall bricks, then 4X2 plates are the dominant choices) so before, essentially all T was doing was making towers and variations. Now, because we got a couple large Duplo sets we have several types of roofs and shear numbers so it can be more interesting (he can build structures, not only façades.) And he can build things so that they are recognizable. Second, we have a much larger number of Duplo figures. In addition to the grandpa, brother, sister, and little brother we have added two firemen, a medic, and a zoo-keeper. So the stories he says while playing have become richer. Adding two fire vehicles and an ambulance helps (although this was not as much an issue as LEGO vehicles and his Home Depot and Lowes cars and planes have always mixed freely).

He has started some creative play. He tries to recreate story lines from books or shows, and there are some other story lines he gets into that we don't recognize. More recently we have started taking a page from homeschooler lessons where we give him something to copy. And occasionally he goes from that to making his own modifications.

But in terms of creativity, it is pretty clear to him that the standard LEGO bricks have a lot more possibilities. So far, they are special treats that are brought out as a reward for good behaviour (and in the case of the Curiosity Rover and the Master Builder Academy Robot set, a special and rare reward) There are a couple of small cars (~40 pieces) and a train (~50 pieces) that he we have him help build before he can play with them. Over the past month, he is able to do more and more of the building (there is one set he can almost make himself). At this point, there is little creativity involved. Like the Duplos before, we don't have enough pieces to do that, but as his fingers get stronger and he starts learning some of the rules of structure, we'll move to those.

In other news, he has finally gotten settled into his room at day care after being moved to the three's room. Every time he spends time with his cousin's in Chicago, his social skills jump up a notch (and having spent a few months in the three's room helps too).  Funny story:  when a group of kids moved up from the two's room this month, apparently he was trying to show them around and telling them how things worked now that he is no longer the new kid in the room.

We've started music lessons. At this point, this means do-re-mi and working on aural skills and reading the staff. It is amusing to watch since he has only limited fine motor skills so he counts by nodding his head :-P



He has mostly moved from board books to the first level of readers.  The fun ones are the Scholastic LEGO books for beginning readers. It helps that we have some of the right LEGO figures as well. He has reached the point where he can "read" the book (meaning, he has somewhat memorized the book and in the parts he can't remember, he makes up something to fill it in.)  In parallel, we have started him with phonics. The trick here is to find words that are fit for phonics that he does not known only because he has memorized the book we are reading.

Things for the future.  Getting him to sleep by himself (he now can be in his own bed (for part of the night) but still wants someone in the room), and the ongoing hope that he becomes more social.

Doing Data Science by O'Neil and Schutt: Book Review

Doing Data Science: Straight Talk from the Frontline by Rachel Schutt
My rating: 4 of 5 stars

Doing Data Science is about the practice of data science, not its implementation. It is based on a course on data science that featured a guest lecturer on each topic. This leads to the guest lecturers (and chapters) focusing more on important concepts rather then the methodology. So, this is not a textbook or a how-to-do-this type of book, rather it is a how-to-think-when-doing book.

A problem with books like this where each chapter is written by someone different is the need for coherence. A second is that each author typically has something to day, and she has to say it in her chapter. So, compared to other data science books, it suffers from the chapters not building on each other in a systematic way and having multiple messages that appear as you go through the book.

One benefit from this is that each author has something to say. While I find the book thin on how to do things, this is a good source of wisdom in why things are done and issues that come up along the way in real life. I am teaching data science for the first time and I find myself turning here for topics of discussion which my chosen textbooks don't cover (as they have more focus on how to do things).

I don't think this is the book to use to learn how to do data science, and I suspect the students at Columbia learned how to find other sources to help them figure things out. But it provides wisdom, which is harder to find and worth quite a bit.

Note: I received a free electronic copy of this book from the publisher as par of the OReilly Bloggers program.



View all my reviews

The Essential Sheehan by George Sheehan: Book review

The Essential Sheehan: A Lifetime of Running Wisdom from the Legendary Dr. George Sheehan by George Sheehan
My rating: 4 of 5 stars

I am at best, a lapsed runner since my son was born. But on my occasional run, I remember what it was to run day in and day out, through good weather and bad, on the road and off, beaches, desert, snow, and ice. But I did not run just for fitness. I ran because it was a way of thinking through life. In The Essential Sheehan, these essays are a view of various aspects of life as viewed by a runner. It ranges from essays about running itself, from just starting out (Sheenan started lifelong running in his 40s) to the marathon to life long running, to health and life and death.

The essays here start with those beginning to run seriously. Viewing running as play and a way to balance out your life. Later chapters get more serious about running in training for goals, races, and meeting challenges like the marathon. The last chapters are about running as a way of looking at life up to and including death (Sheenan's last six years were spent fighting cancer).

One that really strikes me is one discussion about runners in their 30s uniformly saying that they wanted to run until they died. And I was like that too in my 30s. And while I don't run nearly as much as I used to, occasionally I still lace up my shoes and go out. Like I will tomorrow morning when I get up.

Highly recommended book.

Disclaimer: I received a free copy of this book through the Goodreads First Reads program.

View all my reviews

Parenting Month 38: Bargaining, charm (and guile)

Looking at baby chicks at the Museum of Science and Industry

A recent New York Times article looks at a study of violent adults that tracked people from when they were toddlers.  It finds that violence as adults is very similar to violence as toddlers, except that most toddlers determine over time that they can use bargaining and charm to get what they want and they do not need to resort to violence.  This is good as we get more capable in inflicting violence as we get older.  We took a family vacation this past month, so it provided a good look at how T handles himself socially.  At home does not provide nearly as good a look at this since of the four people he has to interact with (1) Lau-lau (grandma) and (2) mom impose their greater will on him and they are mostly resistant to charm, (3) lau-yeh (grandpa) has clearly lost the matchup between grandpa and grandson, and (4) dad (me) takes on the role of father as described by Amy Chua's husband, which is occasionally manifesting as a force of nature when needed so T has definite limits on his opportunities to express his will.  On our family road trip this month we had numerous opportunities of observations with random playground playmates, interactions with kids at nature centers and museums, an arranged playdate with friends, and meeting with cousins as he transitions from being a toddler to a preschooler.

Making a Merry-go-round with cousins

1. Bargaining - we took an overnight stop at a town along the way and went to a local mall to give T someplace to run around in.  This mall had a playground centered on one slide (as opposed to our local mall that has 5 slides), which means the kids are forced to interact if they want to use the slide and its attached fort.  We saw him becoming into one of the kids who had to try to encourage the slow kids to move forward and out of the way so that everyone else could use the slide instead of being one of the slow kids.
2. Charm - Taking pictures while a docent was showing us through a feeding of  turtles.  Taking turns with the other preschooler who was with us.
3. Charm - We took a stop at the Peggy Norbaert Nature Museum.  At one point there was a 17 month old girl who was watching him work an exhibit. And he was trying to show her what to look for in the exhibit. Later, he was showing her the box turtles (that he had seen earlier in our visit.)
4. Charm - Teaching another preschooler how to work a water exhibit at the Nature museum.
5. Guile - At his cousin's house, he was drawing on a chalkboard.  But the only word he knows to write is his name, and his cousin objected to T writing his name on his cousin's chalkboard. So his cousin erased it.  With his hand.  At that point, T pointed out that his cousin's hand needed to be washed. And while his cousin washed his hand, T proceeded to write his name on the freshly erased chalkboard.
6. Bargaining - He went on a playdate that included some 12-15 children (I lost count)  He was the third kid there (the host plus one other guest) He quickly proceeded to alternate play a toy that involved putting something like a coin into the slot (actually, I think that this one really counts as the girl taking charge and including him in her play)
7. Cute (worth a mention even though it was not one of the categories) - At one point, someone saw a squirrel outside the back door and T along with two other kids crowded into the door to look at it outside the window (I hope someone got a picture of it, because it was too good)
8. Bargaining - At a party with his cousins, he wanted to re-enact a cartoon episode where the main characters construct a merry-go-round.  But his cousins had no idea what cartoon he was talking about.  Eventually, they found something round, and animals to go around on it.
9. Guile - At the museum, he took advantage of the fact that he has a long attention span to let someone else try something at an exhibit, and got the exhibit back to himself when that boy was done (and found he was not interested)
10. Charm - Expressing excitement when other people are interacting with exhibits at the Museum of Science and Industry.
11. Charm - Being polite (saying, please, thank you, your welcome) while taking pictures at the museum.
12. Bargaining - Trying to get other kids at a play area to play a different way in one of the activity areas (this did not work, but he tried)
13. Charm - Showing a little girl how to play in one of the bouncing play areas.  He did this with a couple of kids in a few of the activity areas. 
14. Bargaining - Telling a boy who went down the slide ahead of him "Watch out, I'm coming!" while standing at the top of the slide and waving his arms to encourage him to move out of the way.
15. Charm - At a rest stop, pointing out the direction to the bathroom to all of the other toddlers and pre-schoolers. 
16. Charm - On the way out from the museum, wanting to show a group of preschoolers on the way in around the dinosaur exhibit.

Of course, he is a preschooler, and playing with toddlers and preschoolers does lead to use of physical force.  He is big and strong enough that it is not easy for another preschooler to push him aside, and one instance of a bigger kid pulling off his hat led to him chasing the kid down and snatching the hat back.  But we have wondered if he would hold his own in the rough and tumble since the day care staff have observed that he does not get into fights. We are glad that it is not because he won't stand up for himself, it is probably because he does not have the attachment for things that would motivate him to fight.

Controlling a robot at the Museum of Science and Industry

He still generally takes a while to socialize. Although by observation, a large part of it is that he has a long attention span, and generally what happens is that he doing something while other kids come and go around him. During the play date we turned off one toy to get him to get out of a corner and interact with the other kids. Another parent at the playdate made the comment that instead of contributing to chaos he lets the chaos of toddler and pre-school play flow around him. While his daycare staff notes he generally does not play with the others around him, they also note that it is not because he is antagonistic (which is the usual problem) or disinterested, but because he is focused on what he is doing or playing at the moment rather than moving from thing to thing with everyone else.

What we really got out of this vacation was a lot of time to observe T interacting with his peers, both those familiar and also strangers. While we get the observations of day care staff, it helps to see it for ourselves.  While, unfortunately, the realities of the education system means he will have a problem with evaluations for a while, we like knowing that the reality is that he is navigating his path in dealing with his peers and developing skills to cope that will grow into the future.

Playing with a balloon

The LEGO Adventure Book, Vol. 2 Spaceships, Pirates, Dragons & More! by Rothrock: Book Review

The LEGO Adventure Book, Vol. 2: Spaceships, Pirates, Dragons & More! by Megan H. Rothrock
My rating: 4 of 5 stars

This is a book of inspiration. What they have done is to have a group of Master Builders show what they can do. But it is more than a book of pretty pictures of Lego models, it is a masterclass in Lego as a medium for art.

The Adventure Book takes a story line as a framework to present examples of models of various types. But it is not just a set of models. With each set of models, it is not just that the master builder is trying to make something, but, like artists in training, these models are created within a set of limitations, and as artists, they have learned to work creatively within the limitations.

What I like the most about this book, even in comparison to other Lego model books, is that it goes beyond the example and talks about the creative thinking that led to the model. What were the constraints that the artists gave themselves. And then not just what the master builder came up with, but examples of other things that they could have come up with. As such, this is not just an example of good designs, but inspiration for other designs. I especially appreciated the sections where they presented some of the techniques used for making some of the non-standard constructions. This is a good book for the one who wants to go beyond the standard techniques and models found in the typical set.

Note: I received a free electronic copy of this book from the publisher as part of the OReilly Blogger Program.

View all my reviews

Sally Slick & The Steel Syndicate by Carrie Harris: Book review

Sally Slick & The Steel Syndicate by Carrie Harris
My rating: 4 of 5 stars

This is a pulp young adult book. What it means to be an example of pulp fiction is that the principle characters are competent in their world. And in this case the main character is Sally Slick, a teenage midwestern farm girl who is a tinkerer at heart. What you have is a character who has limitations when dealing with a world of the big city and adults who are just as capable with the resources that adults have, but overcomes the challenges along with her friends and family, and some help along the way.

Pulp has two qualities that makes it move. First is that the protagonists are capable, even when the situations are exotic and beyond their experience. And that makes for a different type of book than most books where the principle character is a teenage girl. Second, it is optimistic. Even though the opposition is more capable and has more resources than her, Sally is always looking for the opening and thinking of how to create opportunities. Even when help comes in the form of other adults, Sally does not have the attitude of being a girl in need of rescue, rather she is always depicted as being an integral part of correcting the situation. And she is in control of her future. Events and people come into her life well beyond her capabilities and she does not either passively accept events or even opportunities, but she is a capable moral agent, able to make choices that have consequences as opposed to a helpless character who is pushed around by the events around her.

I have gotten to enjoy the pulp genre through the efforts of this publisher (Evil Hat). The idea that the characters, even teenage girls, are capable and competent is a refreshing change from a society that expects us to wait on help and actively discourages us from taking on risks and being able to do things in the physical world. And it even worse with girls. I've been criticized for treating women in their 20s as competent outside of intellectual and artistic areas. This book is an example of young characters whose are not out of this world, not a world where they passively receive what they get, but a world that they take on and take advantage of opportunities to shape their futures, and welcome the fact that their choices have consequences. And that is a good world to be in. I want more of it from both Carrie Harris and from Evil Hat.

View all my reviews

I Can Do That! Woodworking Projects (ed by David Thiel): Book review

I Can Do That! Woodworking Projects by David Thiel (Popular Woodworking)
My rating: 4 of 5 stars

What I liked is that it starts from the assumption that you don't know anything about woodworking (which is not too far off the mark). So it is a very gentle introduction to the tools, then each project includes discussion on the techniques being used. Which is refreshing compared to plans that say do X, and I may not know how to do X.

What is very helpful is that that it starts out by defining a minimum tool set, then every plan is based on the fact that you only have that set, so you will not get caught looking at plans that assume you have a equipment that reflected serious investment in money and space in your house. (to find the list, look for the "I can do that" section on the Popular Woodworking website. the "Free, online manual" is the tools chapter of this book.)

The plans are basic compared to many woodworking plans available. But this is because it purposely limits the equipment required and the plans are not chosen for the complexity, but as objects to teach techniques on how to use tools (such as how to measure, drill, join, hammer, etc.) and more tricks of the trade. And the authors explain why each technique works and the problems the technique avoids. Which is helpful when you are like me and don't even have the minimal list of tools they list.

Highly recommended as a starting point.

View all my reviews

Open Government, ed. by Lathrop: Book Review

Open Government: Collaboration, Transparency, and Participation in Practice by Daniel Lathrop
My rating: 4 of 5 stars

Open Government is a set of essays about the role of government in providing information. The premise is that government collects all types of data, then distributes it, in effect reducing the cost of information that leads to inefficiencies. But because government, like any commercial company, cannot predict how information can or needs to be used, the argument is that it should follow the lead of Web 2.0 type companies and open up its information systems so that its clients (i.e. private citizens) can access the information already collected and figure out for themselves how to use it.

The essays are all about working with government information systems at some level. While the tone of many of the essays is optimistic and idealistic to an extreme, this is balanced by the number of authors who have actually implemented something at some level. There are a range of private activists, government agencies, political operatives (both Democratic and Republican), and people that need to use government data to do their business. The range of access they describe ranges from communications (using social media such as Twitter as a means of receiving and disseminating messages) to data APIs that allow others to develop applications with based on government collected data.

The main theme is that part of the role of government is to gather and disseminate information. But, very much like the Web 2.0 companies have found, providing an end service is nice, but you can increase your value to your customers by exposing the information in a way that others can figure out how to use it. In the case of government data, instead of the government agency determining what types of summaries are useful, enable access to the raw data so that people can create their own summaries and reports, to further their own ends making greater use of the data that the government put so much effort into collecting and recording. Similarly, instead of only having limited ways of gathering information, government can take advantage of capabilities in internet communications to allow citizens to communicate with the government and process that in the same ways that data analysts process the interactions between private companies and their customers. Making it easy to communicate with the government and using the results of that communication to make government more effective should be possible in the same ways that private companies have been able to do the same.

I'm peripherally associated with an effort to make government collected and distributed data usable, in our case a non-government organization. And a big part of this experiment is to see what can we do now that we have taken this data, that was published on government websites in a non-usable form, and converted it into usable, computer readable, forms. I will have a class of students who are going to find out, and see first hand the issues discussed in this book.

Notice: I received a free electronic copy of this book through the OReilly Press Blogger Program.

View all my reviews

Parenting Month 37: Creative play begins

This is a helicopter flying, not a powered screwdriver

This month started to see more creative play, both in re-purposing toys and in story telling.  With toys, we see more storytelling.  At night, he has started playing with his stuffed animals more. Most nights have them interacting in some way.  Other toys, like the powered screwdriver for a plane, become a part of another story line, like a helicopter with a turning rotor that flies.  Another type of creative play is with Lego DUPLO blocks and a marble run toy.  He is starting to put things together (other than just towers), and taking things we make and redoing them (tonight, a chinese dragon got redesigned into a dinosaur).

Reading Goldilocks and the Three Bears

Storytime has changed too. When we read books, we had always let him jump in and fill in the blanks. The next stage was memorizing the story so he would tell it. But now he does not recite the story, but he has started making up a story to fit the pictures. It is generally loosely related to the book, but clearly different by intention. Another aspect of storytelling is that he will come and just start a story. We have figured out that he takes his favorite TV show (Ni Hao, Kai Lan), and mix and matches plotlines across episodes. It is quite amusing. Especially as any set of available toys may turn into the cast of characters for today's story.

Our regular challenge with the coming of winter is to keep him active, or at least not go stir crazy from being inside. Our Carnegie Museum memberships help here. They provide a good and familiar place to run around and have destinations to go to and activities to look forward to (and we let him have a degree of choice, since he knows what he is doing).

Next up, trying to introduce him to games (Dominos, Chutes & Ladders, and dice are on the list)

Running around kicking balloons in the Playground exhibit at the Carnegie Museum

Parenting Month 36: I am Three!

There are three candles on this cake

We did it!  We made it through the not-so-terrible-twos.  Actually, the two year was very tame.  We continued to experience a generally happy and agreeable toddler over the past year.And while he does play with toys, mommy and daddy are still far and away the favorite playthings with grandma and grandpa right behind.

Some things are the same.  He still is not very social, although he is getting more interactive at day care, but that may be because he is now one of the oldest (before they move him to the three's room).

He does play with toys more.  Legos are fun, he mostly just stacks blocks for now.  But he also acts out stories.  Normally of animals falling and needing help.  Or wanting to get something to eat.

He is starting to get started in creative play.  On the iPad he likes Adobe Ideas, a drawing app.  He generally scribbles, but he also likes to make circles, fill them in, and put in little colored circles that he calls pepperoni pizza.  Also, after a summer of watching daddy and grandpa make woodworking projects, we have started going to Home Depot and Lowes for their kids workshops (Build and Grow at Lowes).  He finds it fun to hammer away in making cars or other things.

Home Depot truck picking up a pig that fell and got lost

No jealousy of daddy.  Actually, a cute thing is that he always wants mommy and daddy to kiss, especially saying goodnight at night.  The one expression of jealousy is when we have kids over for piano lessons.  Whenever that happens he says he wants to play piano (with mommy).

This past month he has been very resistant to the idea of getting older (i.e. turning three). This actually is not a philosophical objection to getting older, but a realization that when kids turn three at his daycare, they get moved from the twos room to the threes room, and that seems to be a slightly traumatic event for them.

While he has been generally agreeable, these past few months have him starting to try to impose his will, as toddlers are expected to do.  More with grandpa, grandma, and mommy.  We think that he does not act up quite so much with daddy since daddy has a habit of scooping him up in whatever position he happens to be in.

Looking to the future, since we have a pre-schooler, we have been thinking about what school will be like in two years time, and what that means in a state which is not exactly known for its good schools, even though we live in one of the better school districts.

Favorites:

Movie and songs to dance to: The past two weeks has been dominated by Les Mis, and especially One Day More.

Book: Book of Sleep, The Very Hungry Caterpillar.  He actually has memorized these by now and does most of the 'reading'

Song to sing: Habanera from Carmen.  He would break out into this at random times.  He can't really sing the words, but he sets any sound to the tune.  Recently he has gone on a "One Day More" from Les Miserables kick.

Toy: Legos and building blocks.  He also plays Bananagrams (called 'letters') often.


Candy: He knows what candy is, but does not seek to eat it.  Funny:  for his birthday cake he scraped off the frosting.

Food: Bananas and Cherios are constants. No change here.

TV: Ni hao Kai Lan! is still the top when he is somewhat upset.  Handy Manny had a very good run for a while.