Machine Learning in Python

Name: Machine Learning in Python
Brand: Bob Mather
Price: 38.75 AUD

Hands on Machine Learning with Python Tools, Concepts and Techniques

By: Bob Mather

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Hardcover | 15 July 2019

At a Glance

Hardcover
126 Pages

Dimensions(cm)
21.01 x 14.81 x 0.97

Hardcover

$38.75

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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

Industry Reviews

"The author does an excellent job explaining complex topics by providing as close as possible, real case scenarios.I could envision how machine learning could help in decision-making and improvements in business operations and systems." - fromgirltogirl

"The book is very detailed and breaks down the learning using real life scenarios that most can comprehend. It provides may ways that Python can be used. Definitely would recommend this product if you are a beginner and looking to understand how to utilize this program. " - Heidi Leech

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