• Deep Learning

  • Guide to Machine Learning and Artificial Intelligence
  • By: David Feldspar
  • Narrated by: Jason R. Gray
  • Length: 1 hr and 31 mins
  • Unabridged Audiobook
  • Release date: 03-27-18
  • Language: English
  • Publisher: David Feldspar
  • 5 out of 5 stars 5.0 (6 ratings)

Regular price: $6.95

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Publisher's Summary

New approaches to machine learning and the financial industry.
Modern-age machines can deepen and quicken our comprehension of numerous areas and fields. Should we come across such enlightening logic, we better take in all the information we can get, especially if you're operating in such a field requires such advanced skills. In this audiobook, you’ll increase your knowledge and analytical abilities by listening to topics such as:  

Machine learning cases in the financial industry
How machine learning is ending financial crime and sneaky hackers
Classification methods and algorithms studies that enhance the neural networks
Logistic and linear regression
Information about support vector machines and artificial neural networks
The differences and applications of CPU and GPU
And other varying sub-topics
Learn the basics and more by listening to this comprehensive guide.
©2018 David Feldspar (P)2018 David Feldspar
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Customer Reviews

Most Helpful
5 out of 5 stars
By ankitha on 04-05-18

Great and simple

This is an excellent read that explains AI and Machine Learning in layman’s terms that makes theoretical and practical sense. The author is very good at putting complex terms and concepts associated AI, predictive analytics, statistics, and so on into everyday language that most can understand. If you are beginning research on AI and Machine Learning this book is a great place to start.

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5 out of 5 stars
By mydeen on 04-05-18

Great into to Machine Learning

As a physician involved in using large databases and predictive analytics, this was an excellent overview of the topic in readily digestible format. This is an excellent resource for those involved in such areas as Performance Improvement and Population Health, as it gives good insight into the basics of many of the software systems we utilize.

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