Machine Learning Concepts With Python and the Jupyter Not Environment : Using...

Create, execute, modify, and share machine learning applications with Python and TensorFlow in the Jupyter Not environment. This book breaks down any barriers to programming machine learning applications through the use of Jupyter Not instead of a text editor or a regular IDE.

You’ll start by learning how to use Jupyter Nots to improve the way you program with Python. After getting a good grounding in working with Python in Jupyter Nots, 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 Nots allow you to apply concepts from earlier in th.

Those who are new to machine learning can dive in with these easy programs and develop basic skills. A glossary at the end of th 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 Nots environment

Who This Book Is For

Ideal for Machine Learning and Deep Learning enthusiasts who are interested in programming with Python using Tensorflow in the Jupyter Not Application. Some basic knowledge of Machine Learning concepts and Python Programming (using Python version 3) is helpful.