According to this tweet [1] there are also audio tapes available, I haven't been able to get them (yet). I did send a mail to nbl@aip.org if they would consider to put a copy on the site.

[1] https://twitter.com/aip_history/status/1465408218507759627

Peter Woit writes regularly about this crisis on his blog "Not Even Wrong". He wrote about Sabine Hossenfelder’s new book "Lost in Math" here https://www.math.columbia.edu/~woit/wordpress/?p=10314

Feynman reminds us that "The first principle is that you must not fool yourself, and you are the easiest person to fool."

direct link: https://www.edx.org/professional-certificate/berkeleyx-found...

(There are two ways you can follow the course: Certificate Program is paid, but the AUDIT program is free)

Note that if you don't want to pay, you should click "View Courses" and click on 1 of the 3 courses in the Foundations of Data Science series.

Pursue the Program ( $357.30 USD - old: $397 )

More material (lectures, talks, publications, etc) here: https://www.math.ias.edu/avi/book

Complementary video (Bell's Theorem) on MinutePhysics: https://www.youtube.com/watch?v=zcqZHYo7ONs

some background info: http://www.preposterousuniverse.com/blog/2017/09/08/joe-polc...

Hacker News discussion on part one: https://news.ycombinator.com/item?id=14966002

syllabus, notes, schedule, etc can be found here http://cs231n.stanford.edu/index.html

Lecturer = Fei-Fei Li at Stanford. Syllabus http://cs231n.stanford.edu/syllabus.html

For those who are unfamiliar with coursera or interested in just the videos (and NO certificate) you can enroll in "AUDIT" mode:

AUDIT MODE: http://image.ibb.co/iwm0xF/ng.png

The deep-learning course consist of 5 subcourses:

https://www.coursera.org/learn/neural-networks-deep-learning

https://www.coursera.org/learn/deep-neural-network

https://www.coursera.org/learn/machine-learning-projects

https://www.coursera.org/learn/convolutional-neural-networks

https://www.coursera.org/learn/nlp-sequence-models

The deep-learning course is a different course than the prerequisite machine-learning course:

https://www.coursera.org/learn/machine-learning

BTW, if you want to audit, you need to search for each course individually (or click seycombi's links above) and click the Enroll button there, there's no Audit option if you click Enroll on the full Specialization.

Thank you for pointing this out! Was looking for the way to just audit it and could not figure it out.

fast.ai also has a quality ML course

I love fast.ai's course, but I also appreciate having a solid and thorough free machine learning course. While fast.ai is good for getting onto the cutting edge of deep learning quickly, it doesn't go through a lot of material that most people in the machine learning industry are assumes to know.

Can the certificate be received by completing the course in audit mode and then paying at the end of the course.

Thanks for the links! It seems like you can already browse the lecture videos of the first three courses!