Glossary

Key Points

Introduction	Introduction to machine learning, what is the concept and why is so related to data.
Data Cleaning, Imputation, Cross-Validation	First key point. Brief Answer to questions. (FIXME)
Linear and Logistic Regression	First key point. Brief Answer to questions. (FIXME)
Training, Validation, Test Data and Overfitting	First key point. Brief Answer to questions. (FIXME)
Linear Classifiers	First key point. Brief Answer to questions. (FIXME)
Decision trees and random forests	Decision trees and random forest.
Navie Bayes and Kernel Methods	First key point. Brief Answer to questions. (FIXME)
Clustering: K-means and Hierarchical Clustering	First key point. Brief Answer to questions. (FIXME)
Dimensionality reduction	First key point. Brief Answer to questions. (FIXME)
Principal and independent component analysis	First key point. Brief Answer to questions. (FIXME)
Neural Networks and Back Propagation	First key point. Brief Answer to questions. (FIXME)
Deep Learning and Convolutional Neural Networks	First key point. Brief Answer to questions. (FIXME)

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