There are other textbooks that can be good resources. Some are out of print and online:
- Winston, P. H. (1992). Artificial intelligence (3rd ed.). Pearson Education, Inc. Out of print. This classic text is now available at https://courses.csail.mit.edu/6.034f/ai3/rest.pdf. Winston arguably wrote the first AI textbook in the mid-1970s, from which this third edition grew. His Third edition has 10 chapters on various styles of machine learning (yikes!). I will use this textbook for supplemental material during one or two weeks.
Another text on the history of AI by one of the founders may interest some:
- Nilsson, N. (2009). The quest for artificial intelligence: A history of ideas and achievements. Cambridge University Press. This book is available from Cambridge University Press, and a free online web version is available at: http://ai.stanford.edu/~nilsson/QAI/qai.pdf.
Other Materials: You will be reading other papers, watching videos, and listening to podcasts throughout the semester. These are listed in the course schedule below for each week. Consider taking the Vanderbilt-Coursera course on prompt engineering. You can still work it in to your schedule (optional) and it will come up in class and discussion, along with two papers along the same lines (“ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Design“, “A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT“).