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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.