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SECTION 2: AI Theory
Curriculum
9 Sections
18 Lessons
10 Weeks
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CHAPTER 5: What Is AI?
2
1.1
Intelligence
10 mins
1.2
Importance of Generalizability
10 mins
CHAPTER 6: From CPUs to GPUs
1
2.1
CPUs Compared to GPUs
10 mins
CHAPTER 7: Optimization
3
3.1
Linear Regression
10 mins
3.2
Convex Optimization
10 mins
3.3
Deep Learning
10 mins
CHAPTER 8: Measuring AI Performance
2
4.1
Scoring AI
10 mins
4.2
Comparing Performance of AI Models
10 mins
CHAPTER 9: AI Learning Techniques
3
5.1
Supervised Learning
10 mins
5.2
Unsupervised Learning
10 mins
5.3
Reinforcement Learning
10 mins
CHAPTER 10: Simulators and AI
1
6.1
Simulators and AI
10 mins
CHAPTER 11: OODA Loops
2
7.1
Stages of the OODA Loop
10 mins
7.2
OODA Loops in Retail
10 mins
CHAPTER 12: Hierarchy of Data Maturity
1
8.1
Hierarchy of Data Accuracy
10 mins
CHAPTER 13: A “General Theory for Retail AI”
3
9.1
Non‐Convex Optimization Approach to Solving Retail
10 mins
9.2
Supervised Learning Approach to Solving Retail
10 mins
9.3
Reinforcement Learning Approach to Solving Retail
10 mins
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