Аннотация
Machine learning and data science are very popular right now and are fast-moving targets. I have worked with Python and data for most of my career and wanted to have a physical book that could provide a reference for the common methods that I have been using in industry and teaching during workshops to solve structured machine learning problems.
This book is what I believe is the best collection of resources and examples for attacking a predictive modeling task if you have structured data. There are many libraries that perform a portion of the tasks required and I have tried to incorporate those that I have found useful as I have applied these techniques in consulting or industry work.
Many may lament the lack of deep learning techniques. Those could be a book by themselves. I also prefer simpler techniques and others in industry seem to agree. Deep learning for unstructured data (video, audio, images), and powerful tools like XGBoost for structured data.
I hope this book serves as a useful reference for you to solve pressing problems.


![В этой уникальной книге самые авторитетные разработчики программного обеспечения делятся опытом оригинального решения задач, которые вставали перед ними при... Идеальный код [Как научиться видеть красоту в программировании]](https://www.rulit.me/data/programs/images/oram-endi_605774.jpg)
![После прочтения этой книги вы получите достаточный минимум знаний, благодаря которому сможете самостоятельно настроить программу «1С Управление торговлей 8.2»,... 1С: Управление торговлей 8.2 [Настройка, конфигурирование и администрирование]](https://www.rulit.me/data/programs/images/1s-upravlenie-torgovlej-8-2-nastrojka-konfigurirovanie-i-adm_473034.jpg)


Комментарии к книге "Machine Learning Pocket Reference [1st Edition]"