91–100 of 320 posts
for lots of people here it'll revisit some material you learnt at school but it does go further and the materials are fantastic and the exam at the end is no pushover either.
2. Astrophysics (on edX from Australian National University, 4-part series: https://www.edx.org/xseries/astrophysics) taught by Brian Schmidt and Paul Francis. Delightful. Plenty of math but mostly at undergrad level. A grand tour of current topics.
3. First Nights - Handel's Messiah and Baroque Oratorio (on edX from Harvard: https://www.edx.org/course/first-nights-messiah-harvardx-mus...) taught by Thomas Forrest Kelly. Historical perspective and structure of the music. I was hooked from the first lecture. One of a series of 5 outstanding courses in the "First Nights" series, this is my favorite.
So many great MOOCs, so little time.
Earlier quoted context omitted.
> Probabilistic Graphical Models, Daphne Koller – the first course in the specialization has a very good and engaging start, but the gap between lectures and problems widens quickly after that (maybe that's why the author boasts about a "challenging" course "not for everyone"). I'm hesitant to take the next course of the specialization.
Is PGM still relevant as it was five years ago, given the renaissance in deep learning and other NN techniques?
I've taken 10 GaTech OMSCS courses via Udacity. Two of my favorites (so far): Intro to Computer Vision: https://www.udacity.com/course/introduction-to-computer-visi... Reinforcement Learning: https://www.udacity.com/course/reinforcement-learning--ud600 I found the Isbell+Littman combo to work so well that I also took the ML course. I know some people complain about their humor but it was perfect for me. I could liste…
This was also probably my favorite OMSCS class. The projects were particularly enjoyable... especially the OpenAI Gym lunar lander[1]. Kinda bummed that OpenAI chose to shut down the online submission platform.
[0]: https://twitter.com/isbellHFh/status/893216499439210497
Functional Programming Principles in Scala [1] taught by Martin Odersky, professor at EPFL and creator of the Scala language. [1] - https://www.coursera.org/learn/progfun1
Seconded! Odersky is a great lecturer (and very practical lecturer despite Scalas "academic" reputation) and the course was very well organized. I did the course on the first or second run however, not sure if it has been kept up to date or if it is still well run. Was disappointed with the follow up courses though, the lecturers didn't live up to Odersky.
The first course was great. I agree that Odersky is a very good lecturer, organized and easy to follow. I'd recommend it to anyone interested in Scala.
The second course was OK but not quite as good, it felt a little less systematic. It was mostly Odersky, but for part of the final week the course switches tracks to a different lecturer who clearly was preparing slides for a different lecture series, and I thought both the lectures weren't as clear and the stitch-in of the different material wasn't handled smoothly.
I've just started the third and while it's not Odersky, the lecturers have been good so far.
Robert Sedgewick's Algorithms has been one of the best for me, not only as a general refresher on algorithms, but also as a way of better understanding complexity notations.
Where can I find this course?