Artificial Intelligence

"I visualize a time when we will be to robots what dogs are to humans, and I’m rooting for the machines."
– Claude Shannon

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This AI bootcamp was aggregated by Amit Maraj & Connlaoi Smith.

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All materials used within this bootcamp are credited to their respective authors.

Basics

Outline:

1. Classification and Regression Intro

2. Regression, Perceptrons, and SVMs

3. Polynomial Regression

4. Applying Regression

5a. Pre-Processing and Gaussian Naive Bayes

5b. Pre-Processing and Gaussian Naive Bayes Continued

6. Decision Trees)

7. Random Forest

8. Neural Network Theory

9. Building a Neural Network

10. Implementing a Neural Network