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nag pragmatic machine learning python 2020

Type:: E-books
Files:: 1
Size:: 19.9 MB
Uploaded On:: Aug. 26, 2021, 8:13 a.m.
Added By:: andryold1
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Info Hash:: BE6F803C788D43251A9149972FE092DC6A5001E4

Textbook in PDF format An easy-to-understand guide to learn practical Machine Learning techniques with Mathematical foundations This book will be ideal for working professionals who want to learn Machine Learning from scratch. The first chapter will be an introductory chapter to make readers comfortable with the idea of Machine Learning and the required mathematical theories. There will be a balanced combination of underlying mathematical theories corresponding to any Machine Learning topic and its implementation using Python. Most of the implementations will be based on 'scikit-learn,' but other Python libraries like 'Gensim' or 'PyTorch' will also be used for some topics like text analytics or deep learning. The book will be divided into chapters based on primary Machine Learning topics like Classification, Regression, Clustering, Deep Learning, Text Mining, etc. The book will also explain different techniques of putting Machine Learning models into production-grade systems using Big Data or Non-Big Data flavors and standards for exporting models

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Nag A. Pragmatic Machine Learning with Python...2020.pdf 19.9 MB

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nag pragmatic machine learning python 2020