Machine Learning Resources

Introduction

Through projects and classes, the Reed Group has compiled a list of machine learning tutorials and blog posts which can be found here:

Topic	Resource
Intro to Machine Learning	Classification using KNN Binary Classification with Perceptron Bias Variance Tradeoff Bias Variance Tradeoff Support Vector Machines Bagging Boosting Gaussian Naive Bayes and Logistic Regression
Deep Learning	Intro to Keras and TensorFlow LSTMs CNNs
Miscellaneous	Information Usage in Deep Learning Models Biases and Pitfalls in Machine Learning Extreme Events and Imbalanced Datasets Self Organizing Maps Discriminant Analysis for Classification