Arora S. Introduction to Machine Learning 2023 torrent

Textbook in PDF format

Linear Regression: An Introduction
A Warm-up Example
Using Linear Regression for Sentiment Prediction
Importance of Featurization
Linear Regression in Programming
Statistical Learning: What It Means to Learn
A Warm-up Example
Summary of Statistical Learning
Implications for Applications of Machine Learning
Optimization via Gradient Descent
Gradient Descent
Implications of Linearity of Gradient
Regularizers
Gradient Descent in Programming
Linear Classification
General Form of a Linear Model
Logistic Regression
Support Vector Machines
Multi-class Classification (Multinomial Regression)
Regularization with SVM
Linear Classification in Programming
Exploring ``Data Science'' via Linear Regression
Boston Housing: Machine Learning in Economics
fMRI Analysis: Machine Learning in Neuroscience
Unsupervised Learning
Clustering
Unsupervised Learning
Clustering
k-Means Clustering
Clustering in Programming
Low-Dimensional Representation
Low-Dimensional Representation with Error
Application 1: Stylometry
Application 2: Eigenfaces
n-Gram Language Models
Probabilistic Model of Language
n-Gram Models
Start and Stop Tokens
Testing a Language Model
Matrix Factorization and Recommender Systems
Recommender Systems
Recommender Systems via Matrix Factorization
Implementation of Matrix Factorization
Deep Learning
Introduction to Deep Learning
A Brief History
Anatomy of a Neural Network
Why Deep Learning?
Multi-class Classification
Feedforward Neural Network and Backpropagation
Forward Propagation: An Example
Forward Propagation: The General Case
Backpropagation: An Example
Backpropagation: The General Case
Feedforward Neural Network in Programming
Convolutional Neural Network
Introduction to Convolution
Convolution in Computer Vision
Backpropagation for Convolutional Nets
CNN in Programming
Reinforcement Learning
Introduction to Reinforcement Learning
Basic Elements of Reinforcement Learning
Useful Resource: MuJoCo-based RL Environments
Illustrative Example: Optimum Cake Eating
Markov Decision Process
Markov Decision Process (MDP)
Policy and Markov Reward Process
Optimal Policy
Reinforcement Learning in Unknown Environment
Model-Free Reinforcement Learning
Atari Pong (1972): A Case Study
Q-learning
Applications of Reinforcement Learning
Deep Reinforcement Learning
Advanced Topics
Machine Learning and Ethics
Facebook's Suicide Prevention
Racial Bias in Machine Learning
Conceptions of Fairness in Machine Learning
Limitations of the ML Paradigm
Final Thoughts
Deep Learning for Natural Language Processing
Word Embeddings
N-gram Model Revisited
Mathematics for Machine Learning
Probability and Statistics
Probability and Event
Random Variable
Central Limit Theorem and Confidence Intervals
Final Remarks
Calculus
Calculus in One Variable
Multivariable Calculus
Linear Algebra
Vectors
Matrices
Advanced: SVD/PCA Procedures