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Machine Learning Lecture Notes PDF

119 Pages·2018·English
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by ['Tiasa Mondol']| 2018| 119 pages| English

About Machine Learning Lecture Notes

This document contains lecture notes on statistical learning theory. It covers topics such as binary classification, regression, model complexity and overfitting, competing goals of approximation and estimation, PAC learning bounds, concentration inequalities, and Vapnik-Chervonenkis theory. The notes are organized into 10 chapters, with each chapter covering key concepts, analysis, and exercises related to statistical learning theory.

Detailed Information

Author:['Tiasa Mondol']
Publication Year:2018
Pages:119
Language:English
Format:PDF
Price:FREE
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