AI & Machine Learning Fundamentals

How machines learn from data

Author: AI Learning Club Team · Difficulty: Beginner · Duration: 2 hr 6 min · Modules: 25

Modules

1. Introduction to AI and Machine Learning (4 min)
2. Mathematical Foundations (5 min)
3. Data Preprocessing and Feature Engineering (5 min)
4. Supervised Learning: Regression (5 min)
5. Supervised Learning: Classification (5 min)
6. Model Evaluation and Selection (5 min)
7. Unsupervised Learning: Clustering (5 min)
8. Unsupervised Learning: Dimensionality Reduction (5 min)
9. Neural Networks Fundamentals (4 min)
10. Deep Learning: Convolutional Neural Networks (5 min)
11. Deep Learning: Recurrent Neural Networks (5 min)
12. Natural Language Processing Basics (5 min)
13. Reinforcement Learning Fundamentals (4 min)
14. Model Deployment and Ethics (5 min)
15. Advanced Topics in Machine Learning (5 min)
16. Case Studies in AI Applications (5 min)
17. Project: Building a Machine Learning Model (8 min)
18. Project: Deploying a Machine Learning Application (8 min)
19. Capstone Project: Comprehensive AI Solution (8 min)
20. Emerging Trends in AI and Machine Learning (5 min)
21. AI in Industry: Real-world Applications (5 min)
22. AI and Society: Ethical Considerations (5 min)
23. Future of AI: Research and Development (5 min)
24. Final Assessment and Certification (5 min)
25. Resources & References (5 min)

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