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Machine Learning Concepts with Python and the Jupyter Notebook Environment - Using Tensorflow 2.0 (Paperback, 1st ed.)
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Machine Learning Concepts with Python and the Jupyter Notebook Environment - Using Tensorflow 2.0 (Paperback, 1st ed.)
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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.
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