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Machine Learning 2020

The Ultimate Guide to Data Science, Artificial Intelligence, and Neural Networks in Modern Business and Marketing applications: The Data Science Guide, Book 1

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Machine Learning 2020

By: Bill Hanson
Narrated by: Kevin Tromp
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About this listen

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 section is chockful 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 which 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!

©2019 Bill Hanson (P)2019 Bill Hanson
Data Science Marketing Business Machine Learning Artificial Intelligence Programming
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Painful

It's hard to know if this is very poorly written or is simply ruined by the stilted and robotic narration, or a combination of both. The intonation makes it difficult to follow the structure of sentences, and the incorrect pronunciation of technical terms (e.g., Bayes as something like "Bayers") makes the experience all the more painful.

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3 people found this helpful

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Comprehensive

It might have been a bit too advance for me but I could understand some of the machine learning concepts even without a background.

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