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Mastering Machine Learning with Python in Six Steps

A Practical Implementation Guide to Predictive Data Analytics Using Python

Authors: Swamynathan, Manohar

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  • Covers basic to advanced topics in an easy step-oriented manner  
  • Concise on theory, strong focus on practical and hands-on approach
  • Explores advanced topics, such as Hyper-parameter tuning, deep natural language processing, neural network and deep learning
  • Describes state-of-art best practices for model tuning for better model accuracy 
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Buy this book

eBook 32,12 €
price for Italy (gross)
  • ISBN 978-1-4842-2866-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 41,59 €
price for Italy (gross)
  • ISBN 978-1-4842-2865-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Master machine learning with Python in six steps and explore fundamental to advanced topics, all designed to make you a worthy practitioner. 

This book’s approach is based on the “Six degrees of separation” theory, which states that everyone and everything is a maximum of six steps away. Mastering Machine Learning with Python in Six Steps presents each topic in two parts: theoretical concepts and practical implementation using suitable Python packages. 

You’ll learn the fundamentals of Python programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as feature dimension reduction, regression, time series forecasting and their efficient implementation in Scikit-learn are also covered. Finally, you’ll explore advanced text mining techniques, neural networks and deep learning techniques, and their implementation. 

All the code presented in the book will be available in the form of iPython notebooks to enable you to try out these examples and extend them to your advantage.

What You'll Learn
  • Examine the fundamentals of Python programming language
  • Review machine Learning history and evolution
  • Understand machine learning system development frameworks
  • Implement supervised/unsupervised/reinforcement learning techniques with examples
  • Explore fundamental to advanced text mining techniques
  • Implement various deep learning frameworks

Who This Book Is For

Python developers or data engineers looking to expand their knowledge or career into machine learning area.

Non-Python (R, SAS, SPSS, Matlab or any other language) machine learning practitioners looking to expand their implementation skills in Python.

Novice machine learning practitioners looking to learn advanced topics, such as hyperparameter tuning, various ensemble techniques, natural language processing (NLP), deep learning, and basics of reinforcement learning.


About the authors

Manohar Swamynathan is a data science practitioner and an avid programmer with over 13 years of experience in various data science related areas that include data warehousing, Business Intelligence (BI), analytical tool development, ad-hoc analysis, predictive modeling, data science product development, consulting, formulating strategy and executing analytics program. He's had a career covering life cycle of data across different domains, such as US mortgage banking, retail, insurance, and industrial IoT. He has a bachelor's degree with a specialization in physics, mathematics, computers, and a master's degree in project management. He's currently living in Bengaluru, the Silicon Valley of India, working as Staff Data Scientist with GE Digital, contributing to the next big digital industrial revolution.

Table of contents (7 chapters)

  • Step 1 – Getting Started in Python

    Swamynathan, Manohar

    Pages 1-52

    Preview Buy Chapter 30,44 €
  • Step 2 – Introduction to Machine Learning

    Swamynathan, Manohar

    Pages 53-116

    Preview Buy Chapter 30,44 €
  • Step 3 – Fundamentals of Machine Learning

    Swamynathan, Manohar

    Pages 117-208

    Preview Buy Chapter 30,44 €
  • Step 4 – Model Diagnosis and Tuning

    Swamynathan, Manohar

    Pages 209-250

    Preview Buy Chapter 30,44 €
  • Step 5 – Text Mining and Recommender Systems

    Swamynathan, Manohar

    Pages 251-295

    Preview Buy Chapter 30,44 €

Buy this book

eBook 32,12 €
price for Italy (gross)
  • ISBN 978-1-4842-2866-1
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 41,59 €
price for Italy (gross)
  • ISBN 978-1-4842-2865-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Mastering Machine Learning with Python in Six Steps
Book Subtitle
A Practical Implementation Guide to Predictive Data Analytics Using Python
Authors
Copyright
2017
Publisher
Apress
Copyright Holder
Manohar Swamynathan
eBook ISBN
978-1-4842-2866-1
DOI
10.1007/978-1-4842-2866-1
Softcover ISBN
978-1-4842-2865-4
Edition Number
1
Number of Pages
XXI, 358
Number of Illustrations and Tables
21 b/w illustrations, 151 illustrations in colour
Topics