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9789389845365- 63f9e3e9d8190a7e11ebf923 Pragmatic Machine Learning With Python https://www.trendypaper.com/s/5b1a00c581a9afd8ff765190/64df47155a810940ca0a4a28/pragmatic-machine-learning-with-python_202595.jpg 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. Relevant Links: International Business 7 Books Online, Pop Up Fairy Tales Pack 1 4 Titles Story Books Children Book Books Online, A Textbook Of Agronomy Books Online, Indian Lentil Dishes Books Online, Madhu Kalash 3 Books Online, Inspired Maths For Icse Schools Primer A Books Online, Environment Quiz Book Books Online, Tom Gates The Brilliant World Of Tom Gates Books Online, Marine Diesel Engines Second Edition Books Online 9789389845365-
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BPB Publications
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Pragmatic Machine Learning With Python

Pragmatic Machine Learning With Python

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Author: Avishek Nag

Brand: BPB Publications

ISBN: 9789389845365-
₹849
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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. Relevant Links: International Business 7 Books Online, Pop Up Fairy Tales Pack 1 4 Titles Story Books Children Book Books Online, A Textbook Of Agronomy Books Online, Indian Lentil Dishes Books Online, Madhu Kalash 3 Books Online, Inspired Maths For Icse Schools Primer A Books Online, Environment Quiz Book Books Online, Tom Gates The Brilliant World Of Tom Gates Books Online, Marine Diesel Engines Second Edition Books Online

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