Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production

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. 

 

1136952709
Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production

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. 

 

14.95 In Stock
Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production

Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production

by Avishek Nag
Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production

Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production

by Avishek Nag

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$14.95 

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Overview

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. 

 


Product Details

BN ID: 2940163821549
Publisher: BPB Publications
Publication date: 04/30/2020
Sold by: Draft2Digital
Format: eBook
File size: 17 MB
Note: This product may take a few minutes to download.
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