Udacity Introduction to TensorFlow For Deep Learning.

Intro to Machine Learning

• This class will teach you the end-to-end process of investigating data through a machine learning lens, and you'll apply what you've learned to a real-world data set.

Lesson 1 - Welcome to Machine Learning

• Meet with Sebastian and Katie to discuss machine learning.

Lesson 2 - Navie Bayes

• Learn about classification, training and testing, and run a naive Bayes classifier using Scikit Learn.

Lesson 3 - SVM

• Build an intuition about how support vector machines (SVMs) work and implement one using scikit-learn.

Lesson 4 - Decision trees

• Learn about how the decision tree algorithm works, including the concepts of entropy and information gain.

Lesson 5 - Choose you own Model

• In this mini project, you will extend your toolbox of algorithms by choosing your own algorithm to classify terrain data, including k-nearest neighbors, AdaBoost, and random forests.