What to read after Python Machine Learning?

Do you need your computer to learn as it works?

Would this ability help you in your day to day work?

Is Python something you are already using but could improve upon?

Machine Learning is the future and is here to stay. As such, you will want to know all the principles behind it, that will allow you to build your very own models and applications. But stuffy and long-winded books take time to read, so you probably want something that’s easier to digest. 

This book provides the clear and concise information you’ve been looking for.

Full of well-defined details, concepts and examples, Python Machine Learning: The Ultimate Expert Guide to Learn Python Machine Learning Step by Step covers all your vital machine learning procedures, with chapters that include:

• How advanced tensorflow can be used

• Neural network models and how to get the most from them

• Machine learning with Generative Adversarial Networks

• Translating images with cross domain GANs

• TF clusters and how to use them

• How to debug TF models

• And lots more…

If you’ve been using Python for some time and want to become even better at it, then Python Machine Learning: The Ultimate Expert Guide is the first book you should be reading on the subject.

Crammed with great tips, advice and strategies for making sure you are at the top of your game, this is a book that will change your Python experience for ever.

Get your copy now!