Back to Search
ISBN 9781795201728 is currently unpriced. Please contact us for pricing.
Available options are listed below:

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

AUTHOR Bradley, Peter
PUBLISHER Independently Published (01/26/2019)
PRODUCT TYPE Paperback (Paperback)

Description

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.




Show More
Product Format
Product Details
ISBN-13: 9781795201728
ISBN-10: 179520172X
Binding: Paperback or Softback (Trade Paperback (Us))
Content Language: English
More Product Details
Page Count: 92
Carton Quantity: 76
Product Dimensions: 6.00 x 0.22 x 9.00 inches
Weight: 0.32 pound(s)
Country of Origin: US
Subject Information
BISAC Categories
Science | Chemistry - Clinical
Science | Data Science - Data Modeling & Design
Science | Artificial Intelligence - Natural Language Processing
Descriptions, Reviews, Etc.
publisher marketing

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.




Show More
Paperback