• Machine Learning 2020

  • The Ultimate Guide to Data Science, Artificial Intelligence, and Neural Networks in Modern Business and Marketing Applications.
  • By: Bill Hanson
  • Narrated by: Kevin Tromp
  • Length: 5 hrs and 43 mins
  • 3.0 out of 5 stars (1 rating)

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Machine Learning 2020

By: Bill Hanson
Narrated by: Kevin Tromp
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Publisher's Summary

Do you want to master machine learning?

This guide explains everything you need to know to finally fully understand machine learning and how you can use it to revolutionize your business and give your marketing plan a boost in the right direction.

Each chapter is chock-full of information about this branch of artificial intelligence that’s based on the idea that systems can identify patterns, learn from data, and make decisions with minimal human intervention.

In addition to what’s listed above, you’ll also learn:

  • The history of machine learning
  • Data analysis
  • Common machine learning algorithms
  • Comparing machine learning models
  • How to build machine learning models
  • Why Python is so powerful for machine learning
  • What business leaders must know about machine learning
  • How machine learning is used in marketing
  • And anything and everything in between that will help you take your business and your marketing techniques to another level

Even if you’ve never been able to grasp the concept before or have no idea how much understanding what a difference learning it can make for you and your business, this audiobook that describes it from A to Z can help you understand the concept and will inspire you to take advantage of its systems.

If you’re ready to dive in and see what machine learning can do for you, buy your copy of this easy-to-understand guide today! 

©2020 Bill Hanson (P)2020 Bill Hanson
  • Unabridged Audiobook

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This is a book which tries too many levels

This book try too many levels. It discusses machine learning. At a high level and with some details. It discusses python at a high level and some details. It discusses ai.and neural nets again at mixed levels. And IDEs for python. It could be good if it was more detailed. Or more high level. But the last field have much better books.