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Mastering Machine Learning with R, Second Edition - Second Edition

You're reading from  Mastering Machine Learning with R, Second Edition - Second Edition

Product type Book
Published in Apr 2017
Publisher Packt
ISBN-13 9781787287471
Pages 420 pages
Edition 2nd Edition
Languages
Toc

Table of Contents (23) Chapters close

Title Page
Credits
About the Author
About the Reviewers
Packt Upsell
Customer Feedback
Preface
1. A Process for Success 2. Linear Regression - The Blocking and Tackling of Machine Learning 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 and Deep Learning 8. Cluster Analysis 9. Principal Components Analysis 10. Market Basket Analysis, Recommendation Engines, and Sequential Analysis 11. Creating Ensembles and Multiclass Classification 12. Time Series and Causality 13. Text Mining 14. R on the Cloud 15. R Fundamentals 16. Sources

Business understanding


It was a calm, clear night on the 20th of 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 Distance Measuring Equipment (DME) 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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