Machine Learning - A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and Techniques

Machine Learning - A Complete Exploration of Highly Advanced Machine Learning Concepts, Best Practices and Techniques

by Peter Bradley
Publication Date: 25/06/2019

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Do you know how to build a Machine Learning Algorithm in Python?


Have you learned how to build a Neural Network in Python?


If you have read the first three books in the series, you will know how to do both those things. If you want to learn more about the concepts related to Machine Learning, and some subjects and concepts that are linked to Machine Learning, you have come to the right place.


Over the course of the book, you will gather information on the following:


Subjects linked to Machine Learning


Artificial Intelligence


Big Data


Building Generic Algorithms in Python


Activation functions used to build Neural Networks


Building a Neural Network in R


The information in this book will help you learn more about Machine Learning. You should now be able to link some of the concepts in Machine Learning with the work you do, or the work you want to do. Once you practice the models in the book, you can build your very own models in either R or Python.


So What are You Waiting For? It is never to early or late to learn. Grab a copy of this book Now, and build your very own genetic Algorithm in Python and a Neural Network in R.

ISBN:
9781393231196
9781393231196
Category:
Computer vision
Publication Date:
25-06-2019
Language:
English
Publisher:
Peter\Bradley
Peter Bradley

Peter Bradley was the Labour MP for The Wrekin between 1997 and 2005. More recently, he co-founded and directed Speakers' Corner Trust, a charity which promotes freedom of expression, open debate and active citizenship in the UK and developing democracies. He has written, usually on politics, for a wide range of publications, including The Times, The Guardian, The Independent, The New Statesman and The New European.

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