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Grokking AI for Engineering & Product Managers
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1.
The Fundamentals
Basics of AI I
Basics of AI II
The Highs and Lows of AI
Understanding Machine Learning
Supervised Learning
Supervised Learning: Algorithms and Business Use Cases I
Supervised Learning: Algorithms and Business Use Cases II
Supervised Learning: Algorithms and Business Use Cases III
Unsupervised Learning
Unsupervised Learning: Algorithms and Business Use Cases
Reinforcement Learning
Deep Learning
Convolutional Neural Networks: What, When, How and Where
Recurrent Neural Networks: What, When, How and Where
Natural Language Processing: Word Embeddings
Natural Language Processing: BERT
Recommendation Systems
Transfer Learning
Evaluation Metrics I
Evaluation Metrics II
Quiz
2.
AI in Practice
Creating AI Solutions That Users Trust
Creating Great AI Products: The Rules
Key ML Lessons
AI Infrastructure: Overview
AI Infrastructure: AI Frameworks
AI Infrastructure: Cloud Services to Create AI Solutions I
AI Infrastructure: Cloud Services to Create AI Solutions II
Quiz
3.
Real Case Studies
Starbucks: The Millions of AI Infused Cups of Coffee
Netflix: Using AI To Give Us Better Entertainment
American Express: AI and Credit Cards
AI for Wildlife Conservation
Quiz: Test Scenario
4.
Responsible AI
Responsible AI Practices: Introduction
Responsible AI Practices: Fairness
Responsible AI Practices: Interpretability
Responsible AI Practices: Privacy
Responsible AI Practices: Security
Responsible AI Practices: Addendum
AI and Ethics: Case Studies
5.
What's Next
Current State of AI in Numbers I
Current State of AI in Numbers II
Future of AI
Where to Next?
Final thoughts
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Grokking AI for Engineering & Product Managers
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