Аннотация
I wrote the first edition of Th oughtful Machine Learning out of frustration over my coworkers’ lack of discipline. Back in 2009 I was working on lots of machine learning projects and found that as soon as we introduced support vector machines, neural nets, or anything else, all of a sudden common coding practice just went out the window.
T h oughtful Machine Learning was my response. At the time I was writing 100% of my code in Ruby and wrote this book for that language. Well, as you can imagine, that was a tough challenge, and I’m excited to present a new edition of this book rewritten for Python. I have gone through most of the chapters, changed the examples, and made it much more up to date and useful for people who will write machine learning code. I hope you enjoy it.
As I stated in the first edition, my door is always open. If you want to talk to me for any reason, feel free to drop me a line at matt@matthewkirk.com. And if you ever make it to Seattle, I would love to meet you over coffee.
![The Art of Computer Programming: Volume 3: Sorting and Searching [2nd Edition]](https://www.rulit.me/data/programs/images/the-art-of-computer-programming-volume-3-sorting-and-searchi_568628.jpg "The bible of all fundamental algorithms and the work that taught many of today")
![Peopleware: Productive Projects and Teams [3rd Edition]](https://www.rulit.me/data/programs/images/peopleware-productive-projects-and-teams-3rd-edition_492686.jpg "Few books in computing have had as profound an influence on software management as Peopleware . The unique insight of this longtime best seller is that the major issues of software development are human, not technical. They’re not easy issues; but solve them, and you’ll maximize your chances of...")
Комментарии к книге "Thoughtful Machine Learning with Python"