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Reader review5 / 5
A superb guide
The clearest explanation of ai & machine learning I have come across.
I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The chapters on ai & machine learning are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. I found myself making notes in the margins, which is always a good sign. Worth the money and the reading time, without hesitation.
Mixed feelings. The good parts are genuinely good; the rest is forgettable.
I read this over a couple of weekends alongside a small side project, which turned out to be the ideal way to approach it. The author clearly knows the subject deeply and has thought hard about how to teach it. The code samples assume a particular environment, which took a bit of fiddling to get running properly. The writing is direct and does not waste space on filler, which I value in a technical book. Three stars feels about right. It will stay on my shelf, but it will not be the first one I reach for.
Good value. Not perfect, but I would buy another book from this author.
This is the third book I have read on ai & machine learning this year, and it is comfortably the best of them. The writing is direct and does not waste space on filler, which I value in a technical book. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. Recommended, with the caveat that it is not a gentle introduction.
Aaron WilsonMachine learning engineer · Edinburgh, UK
An enjoyable and informative read, though it could have been shorter.
I bought this on a whim after seeing it mentioned in a forum thread, and I am glad I did. I appreciated the honesty about what the book does not cover — it saved me from expecting things that were not there. The author clearly knows the subject deeply and has thought hard about how to teach it. The chapters on webgpu are the strongest — the examples are stripped down but complete, and I could follow along without constant guessing. Good value for the price and worth the time it takes to work through properly.
Recommended, with the caveat that it is not a gentle introduction.
This is the third book I have read on algorithms this year, and it is comfortably the best of them. A couple of chapters felt like they could have been merged, but that is a minor complaint. A couple of chapters felt like they could have been merged, but that is a minor complaint. A couple of chapters felt like they could have been merged, but that is a minor complaint. Worth picking up if you already have the basics. Set realistic expectations and you will get a lot out of it.
A genuinely enjoyable read that also taught me a great deal.
There is a particular kind of technical book that is dense without being difficult, and this is one of them. The author avoids over-explaining, which keeps the pace up but means you need to pay attention. The index and cross-references are surprisingly good, which matters for a book I will come back to. The code samples assume a particular environment, which took a bit of fiddling to get running properly. One of those books that pays for itself within the first few chapters. Highly recommended.
