Sandra Lopez-Zamora**Total time needed: **~52 minutes

- Learning Objectives
- Understand the concept of probability distributions
- Potential Use Cases
- Mathematical foundations for Deep Learning
- Target Audience
- BEGINNERDeep Learning practitioners new to Mathematical / Statistics foundations

Go through the following **annotated items** *in order*:

VIDEO 1. Probability

- What is probability?
- How can we compare probabilities?

30 minutes

BOOK_CHAPTER 2. Probability Distribution

- How to describe probability distribution of discrete variables?
- How to describe probability distribution of continuous variables?

10 minutes

VIDEO 3. Introduction to Probability Distributions

- What is a probability?
- What's mean?
- What's variance?
- What's the difference between sample and population?

7 minutes

ARTICLE 4. Common Probability Distributions

- What is a Bernoulli Distribution?
- What is a Multinoulli Distribution?
- What is a Gaussian Distribution?
- What are the Exponential and Laplace Distributions?
- What are the Dirac Distribution and Empirical Distribution?

15 minutes

BOOK_CHAPTER 5. Common Probability Distributions

- What are discrete and continuous distributions?
- What is the Bernoulli distribution?
- What is a binomial distribution?
- What is a geometric distribution?

10 minutes

Previewing stream ** Math and Foundations**

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