Fr. 40.30

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

English · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

Read more










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.
Python is a great language that is commonly used with Machine Learning. Python is used extensively in Mathematics, Gaming and Graphic Design. It is fast to develop and prototype. It is web capable, meaning that we can use Python to gather web data. It is adaptable, and has great community of users.
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

Product details

Authors Bob Mather
Publisher Bob Mather
 
Languages English
Product format Paperback / Softback
Released 31.07.2019
 
EAN 9781922300034
ISBN 978-1-922300-03-4
No. of pages 126
Dimensions 148 mm x 210 mm x 8 mm
Weight 174 g
Subjects Guides
Natural sciences, medicine, IT, technology > IT, data processing > IT

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.