WPI Worcester Polytechnic Institute


Lecture Notes
Knowledge Discovery in Databases, Data Mining, Machine Learning



Some Useful Datasets

Textbooks and Other Resources

Ethical and Societal Implications of Machine Learning, Data Mining and AI

Lecture: Introduction to Data Mining and Knowledge Discovery in Databases (KDD)

Lecture: Introduction to Biological/Biomedical Data and Text Mining

Lecture: Introduction to the Weka System

Lecture: Brief intro to Matlab

Lecture: Brief intro to R

Lecture: Brief intro to Python

Lecture: Data Integration, Data Warehousing, OLAP

Lecture: Data, Data Preprocessing, Measures of Similarity

Lecture: Data Exploration, Visualization

Lecture: Model Evaluation

Lecture: Confidence Intervals

Lecture: Combining Multiple Models

Lecture: Decision Trees

Lecture: Numeric Predictions: Regression, Model Trees, Regression Trees

Lecture: Artificial Neural Networks

Lecture: Deep Learning

Lecture: Instance Based Learning & Nonparametric Methods

Lecture: Rule Based Classifiers

Lecture: Bayesian Models

Lecture: Genetic Algorithms

Lecture: Support Vector Machines (SVMs)

Lecture: Markov Chains and Hidden Markov Models

Lecture: Association Rules

Lecture: Clustering

Lecture: Anomaly Detection

Lecture: Web Mining

Lecture: Text Mining

Lecture: Sequence Mining

Lecture: Reinforcement Learning