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| #1200356 in Books | 2014-12-31 | 2014-12-17 | Original language:English | PDF # 1 | 9.25 x1.18 x7.50l,1.95 | File type: PDF | 420 pages||29 of 30 people found the following review helpful.| Errors, errors, errors, there are many many ...|By Windweller|Errors, errors, errors, there are many many many errors in the book. You need to check the book and the actual code (available on the website) to work this out.
This is a good book however. There isn't any machine learning book on the market that takes such a deep dive into the subject matter, and the au|About the Author||Patrick R. Nicolas |Patrick R. Nicolas is a lead R&D engineer at Dell in Santa Clara, California. He has 25 years of experience in software engineering and building large-scale applications in C++, Java, and Scala, and has held several m
Leverage Scala and Machine Learning to construct and study systems that can learn from data
About This Book
Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and source code
Leverage your expertise in Scala programming to create and customize AI applications with your own scalable machine learning algorithms
Experiment with different techniques, and evalua...
You can specify the type of files you want, for your device.Scala for Machine Learning | Patrick R. Nicolas. Which are the reasons I like to read books. Great story by a great author.
