Experimentation for Engineers: From A/B testing to Bayesian optimization by David Sweet

I managed to complete this book, which is quite an achievement. Unlike the last two I read on the subject, this was not an easy read. Lots of abbreviations, terminology, python functions, charts that represent hypothetical scenarios I couldn’t relate to, and more questions than answers. Why does that work? How does it work?

I’m not sure if this is necessarily a bad book. Probably isn’t. The author clearly has experience in his line of work, which is very different than mine. So what this book showed me was that other methods exist and online controlled experiments is a broader topic than I assumed. Will I try using any of the python functions or the methods inside? Not likely. However, knowing what can be done is still valuable and may come in handy one day.

I think I wasn’t the right audience for it, which lead to some disappointment. However, I want to learn more about multi-armed bandits and contextual bandits and may check what’s available on Amazon in the area.

9 thoughts on “Experimentation for Engineers: From A/B testing to Bayesian optimization by David Sweet

      1. The website is The Pragmatic Bookshelf, which publishes books for software developers. The books I mentioned are Practical A/B Testing (book1) and Next Level A/B Testing (book2) by Leemay Nassery. I’m not a developer and I could understand it.

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      2. The publisher publishes books that make the subject matter easier to understand (unless it’s advanced level). I don’t have a software background and I was able to understand the books I edited. I also downloaded some books to read (a perk when I was working there).

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