Using the R programming language, youll learn how to analyze sample datasets and write simple machine learning algorithms.
Inferring the Types of Columns in Your Data.
Writing Our First Bayesian Spam Classifier.Exploration versus Confirmation, what Is Data?With the release of the eBook version.This happens for two reasons; first, because some minor formatting changes had to be made to fit the code into the book; and second, some of the code has been updated or edited to remove typos and minor errors.
Develop a naïve Bayesian classifier to determine if an email is spam, based only on its text - Use linear regression to predict the number of page views reasonable suspicion is the probable cause but more than a for the top 1,000 websites - Learn optimization techniques by attempting to break a simple letter.
Ordering Email Messages by Priority, writing a Priority Inbox.
Inferring Meaning, numeric Summaries, means, Medians, and Modes, quantiles.
Clustering Based on Similarity, how Do US Senators Cluster?For those interested, my co-author John Myles White is hosting the code at his Github, which can be accessed at: please feel free to clone, fork, and hack the repository as much as you like.Chapter 1 Using R, r for Machine Learning, chapter 2 Data Exploration.The Gold Mine: A Novel of Lean Turnaround by Fry Balle, Michael Balle.Publisher: Lean Enterprises Inst Inc, more eBooks.The Gold Mine: A Novel of Lean Turnaround Fry Balle, Michael Balle ebook.