[PDF.14kg] Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (MIT Press)

Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (MIT Press)

[PDF.we07] Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (MIT Press)

Fundamentals of Machine Learning  John D. Kelleher, Brian Mac Namee, Aoife D'Arcy epub
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 | #45679 in Books |  The MIT Press |  2015-07-24 | Original language:English | PDF # 1 |  9.00 x.88 x7.00l,.0 | File type: PDF | 624 pages

 | The MIT Press

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||5 of 6 people found the following review helpful.| Exceed Expectation|By Marcos Guimaraes|Excellent content and very well written. I consider a must read book to who wants to learn about machine learning algorithms.|16 of 16 people found the following review helpful.| Excellent exposition of practical applied supervised machine learning.|By RiverRider|Supervised machine learnin| ||Erudite yet real-world relevant. It's true that predictive analytics and machine learning go hand-in-hand: To put it loosely, prediction depends on learning from past examples. And, while Fundamentals succeeds as a comprehensive university textbook cov

Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical a...

You can specify the type of files you want, for your device.Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms, Worked Examples, and Case Studies (MIT Press)   |  John D. Kelleher, Brian Mac Namee, Aoife D'Arcy. A good, fresh read, highly recommended.

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