![Machine Learning Pocket Reference [1st Edition]](https://www.rulit.me/data/programs/images/machine-learning-pocket-reference-1st-edition_675907.jpg "Machine Learning Pocket Reference [1st Edition]")
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.
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