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Machine Learning Concepts with Python and the Jupyter Notebook Environment

Using Tensorflow 2.0

Authors: Silaparasetty, Nikita

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  • Gain comfort in the Jupyter Notebooks environment, which makes programming in Python even easier
  • Build a basic understanding of more complex Machine Learning concepts and how TensorFlow simplifies them in practice
  • Program advanced applications using the familiar Python language
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Buy this book

eBook 26,99 €
price for Spain (gross)
  • ISBN 978-1-4842-5967-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 36,39 €
price for Spain (gross)
  • ISBN 978-1-4842-5966-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

Create, execute, modify, and share machine learning applications with Python and TensorFlow 2.0 in the Jupyter Notebook environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Notebook instead of a text editor or a regular IDE.

You’ll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Notebooks, you’ll dive into what TensorFlow is, how it helps machine learning enthusiasts, and how to tackle the challenges it presents. Along the way, sample programs created using Jupyter Notebooks allow you to apply concepts from earlier in the book.

Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of the book provides common machine learning and Python keywords and definitions to make learning even easier.

What You Will Learn

  • Program in Python and TensorFlow
  • Tackle basic machine learning obstacles
  • Develop in the Jupyter Notebooks environment

Who This Book Is For

Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow 2.0 in the Jupyter Notebook Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful. 

About the authors

Nikita Silaparasetty is a Data Scientist and an AI/Deep Learning Enthusiast specializing in Statistics and Mathematics. She is presently the head of the Indian based ‘AI For Women’ initiative, which aims to empower women in the field of Artificial Intelligence. She has strong experience programming using Jupyter Notebooks and a deep enthusiasm for TensorFlow and the potentials of Machine Learning. Through the book, she hopes to help readers become better at Python Programming using Tensorflow 2.0 with the help of Jupyter Notebooks, which can benefit them immensely in their Machine Learning journey.

Table of contents (11 chapters)

Table of contents (11 chapters)

Buy this book

eBook 26,99 €
price for Spain (gross)
  • ISBN 978-1-4842-5967-2
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover 36,39 €
price for Spain (gross)
  • ISBN 978-1-4842-5966-5
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions & severe weather in the US may cause delays
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules

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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning Concepts with Python and the Jupyter Notebook Environment
Book Subtitle
Using Tensorflow 2.0
Authors
Copyright
2020
Publisher
Apress
Copyright Holder
Nikita Silaparasetty
eBook ISBN
978-1-4842-5967-2
DOI
10.1007/978-1-4842-5967-2
Softcover ISBN
978-1-4842-5966-5
Edition Number
1
Number of Pages
XXVII, 290
Number of Illustrations
111 b/w illustrations
Topics