Book Content
chapters • 20h36m total length
1. Introduction to Artificial Intelligence
2. Fundamental Use Cases for Artificial Intelligence
3. Machine Learning Pipelines
4. Feature Selection and Feature Engineering
5. Classification and Regression Using Supervised Learning
6. Predictive Analytics with Ensemble Learning
7. Detecting Patterns with Unsupervised Learning
8. Building Recommender Systems
9. Logic Programming
10. Heuristic Search Techniques
11. Genetic Algorithms and Genetic Programming
12. Artificial Intelligence on the Cloud
13. Building Games with Artificial Intelligence
14. Building a Speech Recognizer
15. Natural Language Processing
16. Chatbots
17. Sequential Data and Time Series Analysis
18. Image Recognition
19. Neural Networks
20. Deep Learning with Convolutional Neural Networks
21. Recurrent Neural Networks and Other Deep Learning Models
22. Creating Intelligent Agents with Reinforcement Learning
23. Artificial Intelligence and Big Data
