Machine Learning in Python: Hands on Machine Learning with Python Tools, Concepts and Techniques - Brossura

Mather, Bob

Brossura

ISBN 10: 1718095031 ISBN 13: 9781718095038

Casa editrice: Independently published, 2018

Riassunto

Are you excited about Artificial Intelligence and want to get started?Are you excited about Machine Learning and want to learn how to implement in Python?

The book below is the answer.

Given the large amounts of data we use everyday; whether it is in the web, supermarkets, social media etc. analysis of data has become integral to our daily life. The ability to do so effectively can propel your career or business to great heights. Machine Learning is the most effective data analysis tool. While it is a complex topic, it can be broken down into simpler steps, as show in this book. We are using Python, which is a great programming language for beginners.

But if you're not already working in or studying in the field, it can be difficult to start off with basic machine learning concepts. Finding information in layman's terms is like finding a needle in a haystack. The concepts of Machine Learning are varied and complex, and learning/implementing Machine Learning is an organic process that requires practice and cannot be done in a step-by-step manner.

Keeping this mind, this book explains several complex topics in layman's terms and includes several examples to show you exactly how it's done.

Here's What's Included In This Book:

• What is Machine Learning?
• Why use Python?
• Regression Analysis using Python with an example
• Clustering Analysis using Python with an example
• Implementing an Artificial Neural Network
• Backpropagation
• 90 Day Plan to Learn and Implement Machine Learning
• Conclusion

If you're ready to have a guide that breaks down this complex topic in simple language then this is your chance. Download your copy now so you can get started on what is promising to be a most amazing future.

Scroll to the top of the page and Buy now.

Dettagli dell?edizione

• Editore: Independently published
• Data di pubblicazione: 2018
• Lingua: Inglese
• ISBN 10: 1718095031
• ISBN 13: 9781718095038
• Rilegatura: Copertina flessibile
• Numero di pagine: 125
• Contatto del produttore: non disponibile