Apress | Machine Learning Concepts With Python And The Jupyter Notebook Environment: Using Tensorflow 2.0 (2020 EN)

Author: Nikita Silaparasetty
Full Title: Machine Learning Concepts With Python And The Jupyter Notebook Environment: Using Tensorflow 2.0
Publisher: Apress; 1st ed. Edition (October 6, 2020)
Year: 2020
ISBN-13: 9781484259672 (978-1-4842-5967-2), 9781484259665 (978-1-4842-5966-5)
ISBN-10: 148425967X, 1484259661
Pages: 290
Language: English
Genre: Educational: Artificial Intelligence
File type: EPUB (True), PDF (True)
Quality: 10/10
Price: 37.44 €


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.


Learn:
✓ Program in Python and TensorFlow
✓ Tackle basic machine learning obstacles
✓ Develop in the Jupyter Notebooks environment

Features:
✓ 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

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.

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