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Ask HN: What's the best lecture series you've seen?
281–287 of 287 posts
Re: Ask HN: What's the best lecture series you've seen?
#282Introduction to Reinforcement Learning with David Silver
https://www.deepmind.com/learning-resources/introduction-to-...
This classic 10 part course, taught by Reinforcement Learning (RL) pioneer David Silver, a popular resource for anyone wanting to understand the fundamentals of RL.
Re: Ask HN: What's the best lecture series you've seen?
#283I'm a bit disappointed as I didn't see some of my favorites here :D
One of them has already been mentioned, but I'll add it anyway.
- Harvard Stat 110: awesome and somewhat challenging lecture series on probability. It goes into all the probability basics, but also goes into problem solving skill very often, so the problem sets tended to be hard as I recall it. But the nice thing is that a lot of it you can find the solutions which are very well written -- and for the exams as well. Also, the lecturer Joe Blitzstein won best professor at Harvard if I'm not mistaken. https://www.youtube.com/playlist?list=PL2SOU6wwxB0uwwH80KTQ6...
- Statistical Rethinking by Richard Malkreath: man this one will make you relearn statistics. And with a heavy bayesian flavor, which if you hadn't had the chance to learn, will bend your mind as well. You will learn to build models that can describe a lot of situations in the real world, and estimate the parameters from data. Cool stuff if you ask me. https://www.youtube.com/watch?v=BYUykHScxj8&list=PLDcUM9US4X...
- Frank Harrel's Bioistatistics for biomedical reasearch: Frank Harrel is the go to guy to understand how to use data in clinical trials and diagnostics research. His book Regression Modeling strategies is a gem that every data scientist should read. This lecture series is aimed at biomedical researches, ie. people without a strong background in theoretical statistics. In the lectures he talks about the best practices and pitfalls you'll come accross when doing and reading research, and also explain some R code to do a better job. Harrel also wrote some very important R packages i.e. Hmisc and rms. https://www.youtube.com/@bbrcourse6203/videos
- calling bullshit in the era of big data: this is a last year course so it is very laid back in the discussions. I didn't go through the whole thing. But what I watched I remember it was really nice and thought provoking. https://www.youtube.com/watch?v=A2OtU5vlR0k&list=PLPnZfvKID1...
- statistical learning by Hastie and Tibshirani: these are the guys that wrote the two main books on statistical learning. If one wants to get into DS, this is the place to start. https://www.youtube.com/watch?v=LvySJGj-88U&list=PLoROMvodv4...
- Discrete Differential Geometry by Keenan Crane: ok, I didn't see the whole thing, because it was above my understanding. But the graphics and images are so eye catching I almost wanted to just sit there watching. I'm pretty sure this and his computer graphics lectures are aso engaging as hell and hidden gems of the internet. https://www.youtube.com/watch?v=mas-PUA3OvA&list=PL9_jI1bdZm...
Re: Ask HN: What's the best lecture series you've seen?
#284Earlier quoted context omitted.
I have this thing when lecturers are engaging that I have even more trouble believing them going forward if they make an error. I came to that point about the cycle synchronization in his lecture series and I had to stop. Not entirely because of the error, but because the phenomenon he cited was controversial well before he gave those lectures. That tells me he was not one to a) update his beliefs b) predisposed to f…
This is one of the great disconnects between computer scientists and biologists. Computers are man-made, and fundamentally knowable - answers will be definitively, provably, right or wrong. Biology is different. Sure, at a molecule level, you can make definite conclusions. "This drug binds to that receptor." But the kind of biology that is immediately useful to humans - where it touches on psychology or sociology - i…
That’s a common misconception, especially among people who have only shallow acquaintances with really complex computer systems, amplified by deeper exposure to biological systems.
Any sufficiently complex system, be it biological or man made, exhibits characteristics of difficult predictability, even to the point of unpredictable.
Re: Ask HN: What's the best lecture series you've seen?
#285Not even a second of thought: Sussman's & Abelson's SICP https://www.youtube.com/watch?v=-J_xL4IGhJA&list=PLE18841CAB... especially the section on streams ( https://www.youtube.com/watch?v=JkGKLILLy0I&list=PLE18841CAB... ) It changed my outook on programming by pi degrees and I feel it is more needed then ever.
Surely you mean pi radians and not pi degrees.
Re: Ask HN: What's the best lecture series you've seen?
#286Earlier quoted context omitted.
I have this thing when lecturers are engaging that I have even more trouble believing them going forward if they make an error. I came to that point about the cycle synchronization in his lecture series and I had to stop. Not entirely because of the error, but because the phenomenon he cited was controversial well before he gave those lectures. That tells me he was not one to a) update his beliefs b) predisposed to f…
This is one of the great disconnects between computer scientists and biologists. Computers are man-made, and fundamentally knowable - answers will be definitively, provably, right or wrong. Biology is different. Sure, at a molecule level, you can make definite conclusions. "This drug binds to that receptor." But the kind of biology that is immediately useful to humans - where it touches on psychology or sociology - i…
I have trouble trusting information from sources that aren't self-critical or aware of the conversation associated with the research they're citing.
And probably hypocritically, I also want to kick back, turn off the critical side of my brain and enjoy the lectures and get some learning for free while not questioning every claim. Edutainment so to speak. But that requires a lot of trust, and if that trust seems threatened, I can't in good conscience continue my lazy learning.
Re: Ask HN: What's the best lecture series you've seen?
#287Not a visual series (its a podcast), but still one of the best - Dan Carlin`s Blueprint To Armageddon (about WWI):
https://www.dancarlin.com/product/hardcore-history-50-55-blu...