WPI Worcester Polytechnic Institute

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

PROF. CAROLINA RUIZ 

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Some Useful Datasets


Textbooks and Other Resources


Ethical and Societal Implications of Machine Learning and Data Mining


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