Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
Author:   Nikita Silaparasetty
Publisher:   APress
Edition:   1st ed.
ISBN:  

9781484259665


Pages:   290
Publication Date:   22 September 2020
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Our Price $184.77 Quantity:  
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Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0


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Author:   Nikita Silaparasetty
Publisher:   APress
Imprint:   APress
Edition:   1st ed.
Weight:   0.492kg
ISBN:  

9781484259665


ISBN 10:   1484259661
Pages:   290
Publication Date:   22 September 2020
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Machine Learning Concepts with Python and the Jupyter Notebook EnvironmentChapter 1: An Overview of Artificial Intelligence Chapter 2: An Overview of Machine Learning Chapter 3: Introduction to Deep Learning Chapter 4: Machine Learning Versus Deep Learning Chapter 5: Machine Learning with Python Chapter 6: Introduction to Jupyter Notebooks  Chapter 7: Python Programming on the Jupyter Notebook Chapter 8: The Tensorflow Machine Learning Library Chapter 9: Programming with Tensorflow 1.0 Chapter 10: Introducing TensorFlow 2.0 Chapter 11: Machine Learning Programming with TensorFlow 2.0

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Author Information

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.

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