Introduction to machine learning for engineers
Introduction to machine learning for managers


Regression Problems, e.g. predict values.
Classification Problems, e.g. predicting class(es).
Clustering, e.g. finding groups in the data.
Recommender Systems, e.g. what products is the specific customer likely to buy.
Anomali Detection, e.g. intrusion detection or fraud detection.

Tree Based Algorithms

Classification and Regression Tree, CART
Random Forest
Boosted Trees
Gradient Boosted Trees

Neural Network Based Algorithms

Multilayered Perceptron, MLP, aka Feed Forward Neural Network, FFNN
Convolutional Neural Networks, CNN
Deep Neural Networks, DNN
Recurrent Neural Networks, RNN
Support Vector Machines, SVM

Various Topics

Dimensionality Reduction
Hyperparameter Optimization