Machine-learning-and-deep-learning(MIT-6.86x)

Machine learning and deep learning using Python.

course taken on edx.

topics covered

Linear classifiers and generalization

• Introduction to Machine Learning
• Linear Classifier and Perceptron
• Hinge loss, Margin boundaries and Regularization
• Project 1: Automatic Review Analyzer

Nonlinear Classification, Linear regression, Collaborative Filtering

• Linear Regression
• Nonlinear Classification
• Recommender Systems
• Project 2: Digit recognition(part 1)

Nueral networks

• Introduction to Feedforward Neural Networks
• Feedforward Neural Networks, Back Propagation, and Stochastic Gradient Descent
• Recurrent Neural Networks
• Convolutional Neural Networks

Unsupervised learning

• clustering
• generating models
• Em algorithm
• gaussian fixtures

reinforcement learning

• reinforcement leanring
• Natural langauge Processing

Learnt it with Rush, will come back later and remove this once i understand all this from first principles