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Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R

Daniel D. Gutierrez




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 | #1983113 in Books |  2015-09-14 | Original language:English | PDF # 1 |  9.25 x.64 x7.50l,.0 | File type: PDF | 320 pages

||1 of 1 people found the following review helpful.| The 20% that gets you 80% of your Results|By Jeff Weakley|I love this book. For what it is. And for what it is not. I’m new to data science and “what it is NOT” is very important to me. It’s NOT a lot mind-numbing math. It’s NOT long intellectual detours into academic thinking that doesn’t really apply to the kind of projects I’m wantin|From the Inside Flap|A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of d

A practitioner's tools have a direct impact on the success of his or her work. This book will provide the data scientist with the tools and techniques required to excel with statistical learning methods in the areas of data access, data munging, exploratory data analysis, supervised machine learning, unsupervised machine learning and model evaluation.

Machine learning and data science are large disciplines, requiring years of study in order to gain proficiency....

You can specify the type of files you want, for your gadget.Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R   |  Daniel D. Gutierrez. Which are the reasons I like to read books. Great story by a great author.

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