Notes of machine learning
Unit 1 Toppers Handwritten Notes : Machine Learning
Toppers Handwritten Notes for Machine Learning unit 1.
Unit 1: Machine Learning
Introduction to machine learning, Applications, Classification; Supervised Learning-> Linear Regression Cost function, Gradient descent; Logistic Regression, Nearest-Neighbors, Gaussian function.
Unit 2 Toppers Handwritten Notes : Machine Learning
Toppers Handwritten Notes for Machine Learning unit 2.
Unit 2: Machine Learning
Overfitting and Underfitting, Regularization, Bias and Variance, Decision Trees, Naive Bayes, Support Vector Machines, Kernel Methods.
Unit 3 Toppers Handwritten Notes : Machine Learning
Toppers Handwritten Notes for Machine Learning unit 3.
Unit 3: Machine Learning
Unsupervised Learning Clustering K-means, Dimensionality Reduction PCA, Matrix Factorization and Matrix Completion, Ranking, Recommender System.
Unit 4 Toppers Handwritten Notes : Machine Learning
Toppers Handwritten Notes for Machine Learning unit 4.
Unit 4: Machine Learning
Introduction to Neural Network, Perceptron, Feed forward, Back Propagation, Recurrent Neural Network. Introduction to Python machine learning libraries Keras, Tensorflow and Theano.
Unit 5 Toppers Handwritten Notes : Machine Learning
Toppers Handwritten Notes for Machine Learning unit 5.
Unit 5: Machine Learning
Evaluating Machine Learning algorithms and Model Selection, Ensemble Methods Boosting, Bagging, Random Forests, Deep learning Semi-supervised Learning, Reinforcement Learning.