cs106b : Programming Abstractions (C++) - Marty Stepp
https://www.youtube.com/watch?v=FIroM06V2MA&list=PL-h0BZdG_K...
https://www.youtube.com/watch?v=Ua-31ucGAZ0&list=PLoCMsyE1cv...
Ask HN: What's the best lecture series you've seen?
221–230 of 287 posts
Re: Ask HN: What's the best lecture series you've seen?
#222Earlier quoted context omitted.
This would be my choice too. He's a good storyteller. Although like all good storytellers, don't believe everything he says. I looked up a couple of his more bizarre anecdotes, and they usually turn out not to be true. The one example I can remember is women living close together sync'ing up their menstrual period. That turned out to be probably a case of the researchers underestimating the intricacies of the statist…
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 - is too complex to get 100% right. So how do you do 'science' in these fields?
The answer is that you make up some cohesive theory based on existing research and do studies in that direction. You try to prove yourself right.
And it works! Theories that come out of this sort of research can turn out to be 100% true. Or 90% true - where they are wrong under some conditions, but still very useful. Or they can be complete bunk - not predictive, and a waste of time.
When anyone presents a cohesive theory of a complex system, they are probably not 100% right. Doesn't make them entirely wrong, though, and certainly not useless.
Re: Ask HN: What's the best lecture series you've seen?
#223Practical deep learning for coders (2022 edition) By Jeremy, who is the founding researcher at fast.ai. Three things I love about this series 1. Jeremy seems like a power user of Jupyter notebook and uses them beautifully to run the lectures. The book on fastai is also written in Jupyter notebooks. 2. The lectures are super hands on - Jeremy actually fires up a jupyter notebook and runs code which often surprises him…
Also the first few lectures of part 2: https://www.fast.ai/posts/part2-2022-preview.html
Re: Ask HN: What's the best lecture series you've seen?
#224Jordon b Peterson's Maps of Meaning.
Gave me a new toolkit to perceive the world around me.
Re: Ask HN: What's the best lecture series you've seen?
#225IF you'd like to fall in love with history all over again, then Connections is your jam.
Re: Ask HN: What's the best lecture series you've seen?
#226Andrej Karpathy's "Neural Networks: From Zero to Hero". https://karpathy.ai/zero-to-hero.html Just watch the first lecture and you won't be able to not watch the rest. It starts with making your own autograd engine in 100 lines of python, similar to PyTorch and then builds up to a GPT network. He's one of the best in the field, founder of OpenAI, then Director of AI at Tesla. Nothing like the scam tutorials that just…
The "Let's build GPT: from scratch, in code, spelled out." demystifies so much of machine learning and chatbots. It's so cool to see how simple python code can be leveraged into something so amazing.
Re: Ask HN: What's the best lecture series you've seen?
#227The best lecture series I have seen till date ( and I have seen lectures by top professors across great institutions in multiple countries) is Classical Physics by V. Balakrishnan from IIT Madras, India [1]. Only people who have thought about concepts deeply over a lifetime can deliver such truly delightful lectures. If you have an hour to spare, just listen to the first lecture [2] and it will profoundly impact your…
I agree.
His entire family has had storied research careers and highly regarded in their fields. Radha Balakrishnan, his wife, is a retired theoretical physicist, their son Hari Balakrishnan is a professor of CSAIL at MIT and daughter Hamsa Balakrishnan is a professor of aeronautics at MIT.
Re: Ask HN: What's the best lecture series you've seen?
#228Introduction to Mathematical Thinking by Keith Devlin
https://www.coursera.org/learn/mathematical-thinking?
This brought me what math is about:)
Re: Ask HN: What's the best lecture series you've seen?
#229Earlier quoted context omitted.
Full series of videos: https://www.youtube.com/playlist?list=PL5E4E56893588CBA8
After clicking through a few random lectures, this seems fantastic. I wish I'd found this during my physics B.Sc.
For those not in the know NPTEL has a boatload of high quality STEM content. Often they will be the only place you can find the more advanced courses on certain less popular STEM courses.
Re: Ask HN: What's the best lecture series you've seen?
#230Brad Osgood's The Fourier Transform and its Applications https://see.stanford.edu/Course/EE261
Osgood is such an engaging lecturer and his explanations are crystal clear.
Eigenchris' youtube series on tensors is great https://www.youtube.com/playlist?list=PLJHszsWbB6hrkmmq57lX8...
He also has video series on Tensor calculus, General Relativity and a few other topics. Its an incredible labor of love.