Statistical Learning with Math and R

Statistical Learning with Math and R: 100 Exercises for Building Logic

English | EPUB | 2020 | 226 Pages | ISBN : 9811575673 | 46 MB

The most crucial ability for machine learning and data science is mathematical logic for grasping their essence rather than knowledge and experience. This textbook approaches the essence of machine learning and data science by considering math problems and building R programs.
As the preliminary part, Chapter 1 provides a concise introduction to linear algebra, which will help novices read further to the following main chapters. Those succeeding chapters present essential topics in statistical learning: linear regression, classification, resampling, information criteria, regularization, nonlinear regression, decision trees, support vector machines, and unsupervised learning.

Each chapter mathematically formulates and solves machine learning problems and builds the programs. The body of a chapter is accompanied by proofs and programs in an appendix, with exercises at the end of the chapter. Because the book is carefully organized to provide the solutions to the exercises in each chapter, readers can solve the total of 100 exercises by simply following the contents of each chapter.
This textbook is suitable for an undergraduate or graduate course consisting of about 12 lectures. Written in an easy-to-follow and self-contained style, this book will also be perfect material for independent learning.

Download:

http://longfiles.com/sw3cm480p3vz/Statistical_Learning_with_Math_and_R_100_Exercises_for_Building_Logic.epub.html

[Fast Download] Statistical Learning with Math and R


Related eBooks:
Practice Makes Perfect Algebra
Advances in Hydraulic and Pneumatic Drives and Control 2020
Matrix Positivity
Painless Mental Math: Quick, Easy, and Useful Ways to Become a Human Calculator
Symmetry and Complexity 2019
Polynomials: Theory and Applications
The Great Mathematicians second edition
Petrus M.T. Broersen - Automatic Autocorrelation and Spectral Analysis
Numerical Solution of Two-Point Boundary Value Problems
Finite Model Theory
Computing and Combinatorics: 10th Annual International Conference, COCOON 2004, Jeju Island, Korea,
Lesson Study: Challenges in Mathematics Education (Series on Mathematics Education - Volume 3)
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.