This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of Data Science. It covers essential parts of data organization, descriptive and inferential statistics, probability theory, and Machine Learning. These topics are presented in a c
Machine Learning and Data Science: An Introduction to Statistical Learning Methods with R
โ Scribed by Daniel D. Gutierrez [Daniel D. Gutierrez]
- Publisher
- Technics Publications
- Year
- 2015
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
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