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Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms

Artificial Intelligence for Humans, Volume 1: Fundamental Algorithms [Kindle Edition]

Jeff Heaton

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Product Description

Product Description

A great building requires a strong foundation. This book teaches basic Artificial Intelligence algorithms such as dimensionality, distance metrics, clustering, error calculation, hill climbing, Nelder Mead, and linear regression. These are not just foundational algorithms for the rest of the series, but are very useful in their own right. The book explains all algorithms using actual numeric calculations that you can perform yourself. Artificial Intelligence for Humans is a book series meant to teach AI to those without an extensive mathematical background. The reader needs only a knowledge of basic college algebra or computer programming—anything more complicated than that is thoroughly explained. Every chapter also includes a programming example. Examples are currently provided in Java, C#, R, Python and C. Other languages planned.

About the Author

Jeff Heaton is an Informatics Scientist programmer specializing in Java, C#, Groovy, Scala, C/C++, SQL, R, and Octave. He is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include Data Science, Predictive Modeling, Data Mining, Big Data, Business Intelligence, and Artificial Intelligence. Jeff holds a Master’s Degree in Information Management from Washington University and is a Senior Member of the IEEE, a Sun Certified Java Programmer, the lead developer for the Encog Machine Learning Framework open source project, and an Associate of Reinsurance Administration (ARA, LOMA).

Product details

  • Format: Kindle Edition
  • File Size: 3105 KB
  • Print Length: 204 pages
  • Simultaneous Device Usage: Unlimited
  • Sold by: Amazon Media EU S.à r.l.
  • Language: English
  • Text-to-Speech: Enabled
  • X-Ray:
  • Amazon Bestsellers Rank: #139,816 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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Most Helpful Customer Reviews on (beta) 4.4 out of 5 stars  7 reviews
4 of 4 people found the following review helpful
5.0 out of 5 stars A good primer for AI 9 Jan 2014
By Brookemeister - Published on
Format:Kindle Edition|Verified Purchase
I've wanted to better understand artificial intelligence for a long time. This book has opened the door for me. It requires a little mathematical aptitude, but little else, as the author starts with basic concepts and gradually builds on them. I like the examples and illustrations. They helped me digest and build my understanding one step at a time.

I've been in contact with the author and found out that, with self-publishing, you can pretty immediately turn around reader feedback and make incremental improvements to the book. Since I bought the book last month, a number of improvements have already been made.
1 of 1 people found the following review helpful
5.0 out of 5 stars Excellent 23 Jun 2014
By John Pane - Published on
Format:Kindle Edition|Verified Purchase
One of the great attributes of this book is that it presents the material is a way that is very easy to comprehend, if you are confused by the mathematics of other texts, get this!
1 of 1 people found the following review helpful
4.0 out of 5 stars Pretty good 28 April 2014
By Ate Eight - Published on
Format:Paperback|Verified Purchase
I'm a fan of Heaton's books in general, they are excellent resources for software engineers looking to learn about AI and neural networks but this book seems somewhat less focused than his other works. It feels a bit like a hodgepodge of different things - a useful hodgepodge, but a hodgepodge nonetheless. I look forward to seeing the rest of the books in this series!
1 of 1 people found the following review helpful
3.0 out of 5 stars starts easy but ends complicate 19 Mar 2014
By Danilo Canivel - Published on
Format:Kindle Edition|Verified Purchase
The first 40% is very easy to get but the rest is really advanced, maybe need more simple examples .
5.0 out of 5 stars Excellent book 11 Jun 2014
By Marcelo G. Martinez - Published on
Format:Kindle Edition|Verified Purchase
Covers fundamental topics in AI and machine learning. The Algorithms are presented in a easy way to understand.
Excellent book!
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