Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0

Machine Learning Concepts with Python and the Jupyter Notebook Environment: Using Tensorflow 2.0
by: Nikita Silaparasetty
Paperback: 320 pages
ISBN-10: 1484259661
ISBN-13: 9781484259665
Publisher: Apress; 1st ed. Edition (22 Sept. 2020)
Language: English
Book Description
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