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 Machine Learning with R - Second Edition
Key Features
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Harness the power of R for statistical computing and data science
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Explore, forecast, and classify data with R
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Use R to apply common machine learning algorithms to real-world scenarios
Book Description
Machine learning, at its core, is concerned... |  |  Passive, Active, and Digital Filters (The Circuits and Filters Handbook)
Culled from the pages of CRC's highly successful, best-selling The Circuits and Filters Handbook, Second Edition, Passive, Active, and Digital Filters presents a sharply focused, comprehensive review of the fundamental theory behind professional applications of these complex filters. It supplies a concise, convenient reference to the key... |  |  |
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 Learning scikit-learn: Machine Learning in Python
Incorporating machine learning in your applications is becoming essential. As a programmer this book is the ideal introduction to scikit-learn for your Python environment, taking your skills to a whole new level.
Overview
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Use Python and scikit-learn to create intelligent applications
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Apply...
|  |  IQ: A Smart History of a Failed IdeaAdvance praise for
IQ A Smart History of a Failed Idea
"An up-to-date, reader-friendly account of the continuing saga of the mismeasure of women and men." —Howard Gardner, author of Frames of Mind and Multiple Intelligences: New Horizons
"The good news is that you won't be... |  |  |
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