Lecture 02

Foundations of AI, Jupyter Notebook tutorial.

Prepare

• Russell and Norvig (2020), pages 5 to 30.

Participate

• slides

Practice

• 01_ottawa_river_temperature (Jupyter Notebook)
• 02_empty (Jupyter Notebook)
• 03_get_youtube_transcript (Jupyter Notebook)
• 04_stock_price (Jupyter Notebook)
• 05_central_limit (Jupyter Notebook)

Three notebooks from Aurélien Géron introducing essential concepts for machine learning. In the coming weeks, you might want to go through these at your own pace.

• numpy – a fundamental library centered around N-dimensional array objects.
• pandas – powerfull data analysis tools, centered around the DataFrame.
• visualization – demonstrates how to use the matplotlib to produce beautiful graphs.

References

Russell, Stuart, and Peter Norvig. 2020. Artificial Intelligence: A Modern Approach. 4th ed. Pearson. http://aima.cs.berkeley.edu/.