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Mastering Machine Learning with R

You're reading from   Mastering Machine Learning with R Master machine learning techniques with R to deliver insights for complex projects

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Product type Paperback
Published in Oct 2015
Publisher
ISBN-13 9781783984527
Length 400 pages
Edition 1st Edition
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Author (1):
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Cory Lesmeister Cory Lesmeister
Author Profile Icon Cory Lesmeister
Cory Lesmeister
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Table of Contents (15) Chapters Close

Preface 1. A Process for Success 2. Linear Regression – The Blocking and Tackling of Machine Learning FREE CHAPTER 3. Logistic Regression and Discriminant Analysis 4. Advanced Feature Selection in Linear Models 5. More Classification Techniques – K-Nearest Neighbors and Support Vector Machines 6. Classification and Regression Trees 7. Neural Networks 8. Cluster Analysis 9. Principal Components Analysis 10. Market Basket Analysis and Recommendation Engines 11. Time Series and Causality 12. Text Mining A. R Fundamentals Index

Business understanding

It was a calm, clear night of 20th April, 1998, I was a student pilot in a Hughes 500D helicopter on a cross-country flight from the St. Paul, MN downtown airport back home to good old Grand Forks, ND. The flight was my final requirement prior to taking the test to achieve a helicopter instrument rating. My log book shows that we were 35 DME (Distance Measuring Equipment) or 35 nautical miles from the VOR on Airway Victor 2. This put us somewhere south/southeast of St. Cloud, MN, cruising along at what I recall was 4,500 feet above sea level at approximately 120 knots. Then, it happened…BOOOOM! It is not hyperbole to say that it was a thunderous explosion, followed by a hurricane blast of wind to the face.

It all started when my flight instructor asked a mundane question about our planned instrument approach into Alexandria, MN. We swapped control of the aircraft and I bent over to consult the instrument approach plate on my kneeboard. As I snapped on the red...

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