Mathematics, AI, and Beyond: Exploring the Intersection

Data Bytes listeners get an exclusive discount to join Women in Data. ⁠View discount here: womenindata.mn.co/plans/38974...
(00:00:00) Importance of changing the way we teach math to be more inclusive.
(00:00:34) Introduction to the podcast guest, author and professor.
(00:00:58) Teaching at James Madison University; living in Alexandria, VA.
(00:01:28) Balancing in-person, hybrid, and online teaching formats.
(00:02:05) Overview of the book, "Essential Math for AI."
(00:02:27) Inspiration for writing the book; addressing the needs in AI education.
(00:04:11) Key concepts: types of intelligence, core mathematical foundations for AI.
(00:05:00) Starting points for learning math relevant to AI: calculus, linear algebra, probability.
(00:05:14) Connecting math learning to real-life applications for better understanding.
(00:06:12) Discussing the struggle with abstract math education and its real-world application.
(00:07:20) Changing how math is taught to retain more talented individuals.
(00:08:55) Addressing the fear of math and the impact on AI engagement.
(00:09:38) Overcoming math anxiety by setting clear goals and self-teaching.
(00:11:48) How AI advancements will change mathematics education.
(00:12:01) Benefits of AI in education, including automation and personalized learning.
(00:15:02) Historical perspective on the evolution of work and technology.
(00:15:29) Embracing fast technological advancements for societal benefits.
(00:17:20) Mathematics as a truth filter in the age of information.
(00:18:27) New book on prompting and data engineering.
(00:19:25) Exploring the intersection of AI models and data pipelines.
(00:21:09) The end-to-end story of AI from hardware to organizational strategy.
(00:21:45) The importance of understanding the bigger picture in AI.
(00:23:01) Journey into mathematics and AI, starting from Lebanon.
(00:25:44) Advice for young people navigating today's environment.
(00:26:08) Being true to oneself and seeking knowledgeable mentors.

[@DanBarbatti]

Hi Sadie !!! I enjoyed the podcast thank you. Her book looks good (I checked the table of contents on amazon). I ordered it. This comes a good time as although I majored in math that was in the 1970s-1980s so I have forgotten most of the "details" and have recently been looking for resources to review the information that would deepen my AI/ML skills. Also Hala if you see this comment .. thank you for providing the valuable resource!