Skip to main content
SpringerLink
Log in
Apress
Book cover

Machine Learning Concepts with Python and the Jupyter Notebook Environment

Using Tensorflow 2.0

  • Book
  • © 2020

Overview

Authors:
  1. Nikita Silaparasetty

    1. Bangalore, India

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • 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

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 54.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 69.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxvii
    Download chapter PDF

  2. Artificial Intelligence, Machine Learning, and Deep Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. An Overview of Artificial Intelligence

      • Nikita Silaparasetty
      Pages 3-19

    3. An Overview of Machine Learning

      • Nikita Silaparasetty
      Pages 21-39

    4. Introduction to Deep Learning

      • Nikita Silaparasetty
      Pages 41-56

    5. Machine Learning vs. Deep Learning

      • Nikita Silaparasetty
      Pages 57-65

    6. Machine Learning With Python

      • Nikita Silaparasetty
      Pages 67-87

  3. The Jupyter Notebook

    1. Front Matter

      Pages 89-89
      Download chapter PDF

    2. Introduction to Jupyter Notebook

      • Nikita Silaparasetty
      Pages 91-118

    3. Python Programming in Jupyter Notebook

      • Nikita Silaparasetty
      Pages 119-145

  4. The TensorFlow Library

    1. Front Matter

      Pages 147-147
      Download chapter PDF

    2. The Tensorflow Machine Learning Library

      • Nikita Silaparasetty
      Pages 149-171

    3. Programming with Tensorflow

      • Nikita Silaparasetty
      Pages 173-189

    4. Introducing Tensorflow 2.0

      • Nikita Silaparasetty
      Pages 191-213

    5. Machine Learning Programming with Tensorflow 2.0

      • Nikita Silaparasetty
      Pages 215-277

  5. Back Matter

    Pages 279-290
    Download chapter PDF
Back to top

Keywords

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. 



Authors and Affiliations

  • Bangalore, India

    Nikita Silaparasetty

About the author

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.

Bibliographic Information

  • Book Title: Machine Learning Concepts with Python and the Jupyter Notebook Environment

  • Book Subtitle: Using Tensorflow 2.0

  • Authors: Nikita Silaparasetty

  • DOI: https://doi.org/10.1007/978-1-4842-5967-2

  • Publisher: Apress Berkeley, CA

  • eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books

  • Copyright Information: Nikita Silaparasetty 2020

  • Softcover ISBN: 978-1-4842-5966-5Published: 22 September 2020

  • eBook ISBN: 978-1-4842-5967-2Published: 21 September 2020

  • Edition Number: 1

  • Number of Pages: XXVII, 290

  • Number of Illustrations: 111 b/w illustrations

  • Topics: Artificial Intelligence

Publish with us

Policies and ethics

Back to top

Search

Navigation