(The below text version of the notes is for search purposes and convenience. See the PDF version for proper formatting such as bold, italics, etc., and graphics where applicable. Copyright: 2022 Retraice, Inc.)

Re60: Complexity, Linear Algebra, Probability (AIMA4e Appendix A)

retraice.com

Artificial Intelligence: A Modern Approach, 4th ed., pages 1023-1029.

Air date: Thursday, 24th Nov. 2022, 11:00 PM Eastern/US.

Day 4: math

The latest version of our notes on AIMA4e (Russell & Norvig (2020)) will be at: https://aima4e.retraice.com.

Older versions will be preserved in the Retraice Notes feed, https://notes.retraice.com, or at the page for this segment, https://www.retraice.com/segments/re60.

Math is unfamiliar to the math-outsider the way car engines, computers and human bodies are unfamiliar to outsiders of these subjects. And yet, to be competent, we must deal with the hard-reality, right-or-wrong nature of real things by first becoming familiar with them.

Unlike concrete and tangible things, math is all in the mind. And abbreviations and elisions and assumptions and heavy use of unfamiliar notations all make math harder for some. But these issues can be overcome with time and reasonable effort.

A.1 problem and algorithm analysis

A.2 line equation probing

A.3 quantifying `probably'

__

References

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson, 4th ed. ISBN: 978-0134610993. Searches: https://www.amazon.com/s?k=978-0134610993 https://www.google.com/search?q=isbn+978-0134610993 https://lccn.loc.gov/2019047498