Following the tutorials in Python Machine Learning by Sebastian Raschka

http://www.marinamele.com/2014/07/install-python3-on-mac-os-x-and-use-virtualenv-and-virtualenvwrapper.html

mkvirtualenv ml pip install pandas pip install sklearn pip install numpy pip install scipy pip install matplotlib

https://stackoverflow.com/questions/21784641/installation-issue-with-matplotlib-python

Perceptron Classifier

Logistic Regression

• Actually a classifier despite its name
• Linear classifier, but converges unlike the perceptron
• Regularization
  • 10^C where C is the

SVM

• Maximizes margin between classification
• Kernalizable
  • Linear kernal
  • Radial Basis Function kernel, Gaussian kernal (RBF kernel)
• Gamma function affects cutoff, decision boundary

Decision Trees

• information gain
• Gini Impurity
• Entropy
• Classification Error

Random Forests

• Ensemble learning
• Weak learners combined to create a strong learner

K-Nearest Neighbors

• Minkowski uses a generalized Euclidean and Manhattan Distance to determine high-dimensionality distance

Activation Funcions: Sigmoid Relu Softmax Functions

sudo python3 -m pip install --upgrade https://storage.googleapis.com/tensorflow/mac/cpu/tensorflow-0.12.1-py3-none-any.whl