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Machine Learning with R Cookbook, Yu-Wei Chiu

Machine Learning with R Cookbook, Yu-Wei Chiu

Machine Learning with R Cookbook, Yu-Wei Chiu.

  This book is ideal for those of you who want to learn how to use R for machine learning and gain insights from data. Regardless of your level of experience, this book covers the basics of applying R to machine learning through advanced techniques. While it is helpful if you are familiar with basic programming or machine learning concepts, you do not require prior experience to benefit from this book.

Conducting an exact binomial test.
While making decisions, it is important to know whether the decision error can be controlled or measured. In other words, we would like to prove that the hypothesis formed is unlikely to have occurred by chance, and is statistically significant. In hypothesis testing, there are two kinds of hypotheses: null hypothesis and alternative hypothesis (or research hypothesis). The purpose of hypothesis testing is to validate whether the experiment results are significant. However, to validate whether the alternative hypothesis is acceptable, it is deemed to be true if the null hypothesis is rejected.

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