Covers: theory of Naive Bayes Model

- Quick intro to probability theory

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Abdul Rahman Sattar**Total time needed: **~5 hours

- Learning Objectives
- Basic Approaches for Model Based Collaborative Filtering
- Potential Use Cases
- Recommender Systems, Intrusion and Threat Detection
- Target Audience
- INTERMEDIATE

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

VIDEO 1. Overview of Decision Trees

- Gives an overview of decision trees

60 minutes

BOOK_CHAPTER 2. Decision Trees for Collaborative Filtering from "Recommender Systems The Textbook"

- Use of Decision trees for recommendations

60 minutes

VIDEO 3. Apriori Algorithm

- Quick overview of Apriori Algorithm

10 minutes

BOOK_CHAPTER 4. Rule based collaborative filtering from "Recommender Systems The Textbook"

- Use of Rule-based methods for collaborative filtering

45 minutes

VIDEO 5. Introduction to Probability

- Quick intro to probability theory

60 minutes

VIDEO 6. Overview of Naive Bayes by Andrew NG

- Naive Bayes Overview

10 minutes

VIDEO 7. Overview of Naive Bayes

- Overview of Naive Bayes

25 minutes

BOOK_CHAPTER 8. Naive Bayes Collaborative Filtering from "Recommener Systems The Textbook"

- Naive Bayes model for collaborative filtering

45 minutes

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