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 copy-paste random code from the internet.
Course Description:
Imagine you're a Greek soldier marching into battle in the front row of a phalanx. Or an Egyptian woman putting on makeup before attending an evening party with your husband. Or a Celtic monk scurrying away with the Book of Kells during a Viking invasion. Welcome to the other side of history, the 99% of ordinary people whose names don't make it into the history books—but whose lives are no less fascinating than the great leaders whose names we all know. Here you'll encounter such diverse individuals as:
a Mesopotamian hunter-gatherer making a living in one of the world's earliest permanent settlements;
an Egyptian craftsman decorating the pharaoh's tomb in the Valley of the Kings; a Minoan fleeing the island of Santorini during a volcanic eruption;
a Greek citizen relaxing at a drinking party with the likes of Socrates;
a Roman slave captured in war and sent to work in the mines; and
a medieval pilgrim on the road to Canterbury.
https://www.thegreatcourses.com/courses/the-other-side-of-hi...
Ken Joy's lectures on Computer Graphics [2]. Prof Joy is another amazing lecturer, making the Computer Graphics topics seeming easy.
Stanford CS221 Learn AI (2019) by Percy Liang and Dorsa Sadigh. Both professors are great lecturers. Andrew Ng's ML class was great, but it was more academically tuned. CS221 is more on the practical side and is more updated as ML is progressing fast.
Micromouse 2021-2022 by UCLA [4]. It's a short series taught by graduate students and probably it's incomplete, but the content and teaching are amazing. I wish I had this kind of class when I was in school. The teaching and materials are very approachable and easy to understand. It shows how basic electronic components and basic circuitry work. It shows how to put them together and how to write simple programs to control the components. The end result is a robotic mouse that can traverse mazes with seemingly intelligence.
[1] https://www.youtube.com/playlist?list=PL49CF3715CB9EF31D
[2] https://www.youtube.com/watch?v=01YSK5gIEYQ&list=PL_w_qWAQZt...
[3] https://www.youtube.com/watch?v=J8Eh7RqggsU&list=PLoROMvodv4...
[4] https://www.youtube.com/playlist?list=PLAWsHzw_h0iiz1EQEvQ9n...
Edit: added [4]
https://www.youtube.com/watch?v=NNnIGh9g6fA&list=PL848F2368C...
https://www.feynmanlectures.caltech.edu/
Extremely clear and satisfying lectures that covers all of basic physics. Much of it is accessible to anyone with some spare time and first year university!
MIT 16.885J Aircraft Systems Engineering, Fall 2005 [1] - the aircraft they focus on is the Space Shuttle. Amazingly demystifying. Some of the actual early designers talk there.
[0] - https://www.youtube.com/watch?v=bJczLlwp-d8&list=PLh9mgdi4rN...
[1] - https://www.youtube.com/watch?v=iiYhQtGpRhc&list=PL35721A60B...
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.
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 3. I love how he describes he deep dives into a specific Kaggle competition. Describes in great detail his own attempts at getting up the leaderboard. It's almost like watching a poker player reveal her decision process before they make a move.
https://www.youtube.com/watch?v=8SF_h3xF3cE&list=PLfYUBJiXbd...
MIT 6.824 Distributed Systems by Robert Morris - https://www.youtube.com/watch?v=cQP8WApzIQQ&list=PLrw6a1wE39...
At the time it was cutting edge to the point where he introduced a previously undescribed optimization method (RMSProp) that was subsequently used in papers, citing the lecture slides as their reference! But still accessible to anyone with basic college math. Of course it doesn't have any of the new stuff like transformers or diffusion models, but I still consider it as giving a good foundation for understanding backprop and neural nets.
Unlike every other AI course at the time it didn't try to teach you about all the other types of machine learning. Neural nets only. After taking it I was able to apply neural nets at work with pretty great results. Also, it gave me one of my favorite quotes: "To deal with hyper-planes in a 14-dimensional space, visualize a 3-D space and say 'fourteen' to yourself very loudly. Everyone does it."
Introduction to Cryptography by Christof Paar, I wanted to understand Bitcoin's secp256k elliptic curve on finite fields: https://youtube.com/playlist?list=PL6N5qY2nvvJE8X75VkXglSrVh...
The Maths of General Relativity by ScienceClic, I wanted to understand clearly Einstein's field equations (what the hell is a Ricci tensor) without having to read a book: https://youtube.com/playlist?list=PLu7cY2CPiRjVY-VaUZ69bXHZr...
https://www.youtube.com/playlist?list=PL6i60qoDQhQGaGbbg-4aS...
Seminar on Macroeconomics, Randall Wray:
https://www.youtube.com/playlist?list=PLnw-449iRxO-BbfN55FdO...
Modern Money and Public Purpose:
https://www.youtube.com/watch?v=0zEbo8PIPSc&list=PLoGqI16J4b...
Series on linear algebra: https://www.youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2x...
Animation engine: https://github.com/3b1b/manim
It really made...the interpretation of computer programs...click with me.
And there's a meta-circular evaluator designed to fit on the number of blackboards they had available. So that's cool.
https://ocw.mit.edu/courses/6-001-structure-and-interpretati...
It's a course taught at Stanford University, some of which they've released publicly for free. Here's the latest incarnation, which covers SwiftUI: https://cs193p.sites.stanford.edu
One of the earlier courses, back when it was all MVC + UIKit focussed, was how I learnt iOS dev and got a solid grasp of all the concepts: https://podcasts.apple.com/gb/podcast/ipad-and-iphone-applic...
Absolutely fantastic lectures, I feel very lucky they were available. Thank you Paul if you're reading!
[0]https://youtube.com/playlist?list=PL_tws4AXg7asrBv1MMAq4AO68...
MIT Calculus Revisited - An almost perfect no nonsense presentation (I like black boards too)
Francis Su - Real Analysis - Very engaging lecture style and great board work.
Feynman Messenger Lectures - Well its Feynman, and the content is interesting if you are still somewhat new to it.
Also StatQuest and Luis Serano for intuition/conceptualization in Stats & ML.
I have a network of channels on YouTube trying to aggregate lecture courses/series. Here are just two: https://youtube.com/@a-guess-at-the-riddle
Financial markets with Bob Shiller (Yale 2008):
https://youtube.com/playlist?list=PL8F7E2591EE283A2E
Financial markets with Bob Shiller (Yale 2011):
https://youtube.com/playlist?list=PL8FB14A2200B87185
Smart-as-a-whip, scathing rationality of John Geanakoplos in his financial theory course.
Financial Theory with John Geanakoplos (Yale 2011):
Speed Is Found In The Minds of People https://www.youtube.com/watch?v=FJJTYQYB1JQ
std::allocator Is to Allocation what std::vector Is to Vexation https://www.youtube.com/watch?v=LIb3L4vKZ7U
An actual lecture series I've enjoyed watching is "The WE-Heraeus International Winter School on Gravity and Light", which covers General Relativity using modern mathematical approaches: https://www.youtube.com/watch?v=7G4SqIboeig&list=PLFeEvEPtX_...
Again, I haven't done physics in 20 years, but I've found it surprisingly easy to follow because it is so clearly presented.
https://www.youtube.com/playlist?list=PLIljB45xT85BhzJ-oWNug...
His geometry-centric approach to linear algebra was exactly what I needed to finally grok the subject. Topics like matrix multiplication and discriminants went from "why are they defined like this? it makes no sense?" to "of course that's how you multiply matrices because it's the only logical answer".
It's only later that I discovered Wildberger has some ~strange~ very interesting ideas regarding imaginary numbers, but these ideas don't detract one bit from his presentation of linear algebra. Highly recommended viewing for anyone who is keen on neural networks and machine learning but struggles with understanding the underlying mathematics.
https://www.youtube.com/playlist?list=PLS6Mrdpt53RyauAg8bGN-...
An hour with Bryan will teach you more about computer history and system design than most anything else.
I particularly like the monktoberfest series, and the Joyent years.
https://www.youtube.com/playlist?list=PL2imXor63HtS4ewIKryBL...
by Michael Ryan Clarkson
Textbook: https://cs3110.github.io/textbook/cover.html
Lectures: https://www.youtube.com/playlist?list=PLre5AT9JnKShBOPeuiD9b...
https://www.youtube.com/watch?v=LFOsw1Vccac&list=PLUl4u3cNGP...
edit: Added link
It's almost a trite recommendation because his tidbits are sampled all the time in electronic or meditation music, but they're sampled all the time because he's known for opening western minds up to eastern mysticism in a very down-to-earth approachable, comparative, compassionate, and often humorous way. Who knew that philosophy can make you laugh.
His lectures just show you a different way of looking at the world, and it's a breath of fresh air for the soul.
It starts with very basic, and cute blobs. And builds simulations around how they evolve. But as they explain the simulations, they explain how mutations might arise. It is explain how mutations can become advantageous to the point of driving predecessors extinct, or nearly extinct. And they show you how to derive math formulas for the outcome of the simulations in a very intuitive way. Also, it's entertaining as hell. I've watched the whole series at least 4 times by now. It's short, it's punchy, it's brilliant. I'd very highly recommend it.
This series teaches you so much about how a computer works from the ground up. Although I had already learned that you can build a CPU with only NAND-gates, this is what really made it click. It's also densely packed with facts and techniques (debugging, using an oscilloscope, ...). It's quite refreshing compared to other youtube content where every little fact needs a ten minute video.
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.
"How to Speak" - MIT OpenCourseWare - https://www.youtube.com/watch?v=Unzc731iCUY
It was special because the german creator of the course broke down a car into small components and then rebuilt it.
It kinda felt like reading a neatly designed codebase.
As a engineer with huge interest in learning how something works, understanding human brain and behavior, was a logical next step for me. The lectures are more about learning ways of analyzing the mind rather than learning any specific facts.
https://m.youtube.com/watch?v=Ps8jOj7diA0
Not the most sexy topic but it goes to a low level and gives you a clear picture of how memory is laid out, how functions translate to instructions from C, C++, then goes on to use Scheme and Python to show further paradigms.
The presentation is clear and it simplifies in just the right places to give you the foundations.
[0] - https://www.youtube.com/watch?v=NNnIGh9g6fA&list=PL150326949...
by Michael Ryan Clarkson
Textbook: https://clarksmr.github.io/sf-lectures/textbook/lf/deps.html
Lectures: https://www.youtube.com/playlist?list=PLre5AT9JnKShFK9l9HYzk...
[1]: https://www.youtube.com/watch?v=zi7Va_4ekko&list=PL039MUyjHR...
[1] https://youtu.be/JSntf0iKMfM?list=PLlnFrNM93wqz37TUabcXFSNX2...
[2] https://youtu.be/SAIFs_Mx8D8?list=PLlnFrNM93wqyay92Mi49rXZKs...
[3] https://youtu.be/e9khXFSU6r4?list=PLlnFrNM93wqzeZvsE_GKes91C...
[4] https://en.wikipedia.org/wiki/Man_a_Machine · https://www.gutenberg.org/files/52090/52090-h/52090-h.htm
https://www.thegreatcourses.com/courses/effective-communicat...
Most people think they are good communicators because they talk all the time, but talking is not communicating. The truth is that good communication is the hardest thing you will ever do.
This course literally changed how I think, write, and speak. It was so good that I listened to it twice. I even had to restart on the second attempt because my wife got hooked on it as well so we would listen to it on long road trips and discuss.
Some key lessons (taken from the website):
* How early cultural learning and deeply learned patterns of reaction in our unconscious mind affect how you see, think, and feel about other people and enhance or undermine your ability to communicate effectively
* How your sense of self develops in everyday talk during your childhood and the ways in which your subconscious is built to sustain and defend your self-esteem, shaping how you think and speak to others for the rest of your life
* The specific styles of talking you use in most situations, including different types of control talk -- the unproductive and needlessly aggressive mode that almost always dooms a conversation to a fatal downward spiral -- and the more desirable alternative of dialogue talk
The one I've personally been enjoying very much is "Category Theory for programmers" by Bartosz Milewski: https://www.youtube.com/playlist?list=PLbgaMIhjbmEnaH_LTkxLI...
Especially great that they are recorded around the 2008 financial events, so some initial duration is spent on discussing those events.
Extremely good and interesting class on data structures and algorithms, with great auto-graded assignments as well.
Not lectures, but exceptionally well structured and thoughtful conversations between Bryan Magee and leading philosophers from the 80s: https://www.youtube.com/watch?v=7P2R57Axcf8&list=PLhP9EhPApK...
I wish there was a new one...
[1] http://thesciencenetwork.org/programs/beyond-belief-enlighte...
[2] http://thesciencenetwork.org/programs/beyond-belief-candles-...
He also has a podcast “The Idea Store”:
https://podcasts.apple.com/us/podcast/the-idea-store/id15759...
He can speak off-the-cuff on any philosophical school of thought or historical period. The clarity of the lectures is amazing.
What a stone-cold badass.
This series on Finance Theory by Andrew Lo unfolded just during the 2007-08 crisis - so that's an added bonus as the lectures refer to ongoing events sometimes. https://www.youtube.com/watch?v=HdHlfiOAJyE&list=PLUl4u3cNGP...
This course on Open Yale called "Death".
Shelly Kagan talks about whether the soul exists, what death means for the individual, why/whether death is bad, and finally the issue of suicide.
https://www.youtube.com/playlist?list=PLFls3Q5bBInj_FfNLrV7g...
See also:
https://millcomputing.com/docs/
Ivan Godard is a pretty good speaker, and his discussion of how the Mill CPU works is very insightful if you are at all interested in modern CPUs work.
I don't know that we'll ever see Mill CPUs in wide use (I've been focusing on RISC-V), but there are so many interesting ideas presented in this video series. Ideas that will leave you asking: "Why do we do things the way we do now?" over and over again. One of the most interesting ideas is how the Mill CPU architecture takes into account the 2D nature of silicon lithography.
The lectures are a perfect complement to his book "Twenty lectures on algorithmic game theory".
https://www.youtube.com/watch?v=jniaUr_7438 is the one I share most often - Dealing with difficult people
He helped me understand what money really is. He explains pretty complex things that most people have a hard time understanding, in a very simple way. I got the recommandation from another similar thread here on Hacker News.
https://www.openculture.com/2011/01/vintage_mit_calculus_les...
If you understand german I recommend you math lessons by Christian Spannagel https://www.youtube.com/@pharithmetik. Makes some less interesting topics enjoyable.
[1] https://www.kirkusreviews.com/book-reviews/joseph-campbell/t...
http://rickroderick.org/100-guide-philosophy-and-human-value...
There are probably more thorough ones out there, but I found his added perspective helpful - he's constantly asking, is this useful today? Today is 30 years ago now, but still. :)
Before listening to the series, I thought I wasn't interested in Nietzsche, but afterwards it feels like he has a point that modern culture still hasn't addressed, au contraire. Especially if you look at the dropping birth rates.
Particularly about human vision and how visual information gets processed, priority and timing, etc. Some cool experiments (upside down face recognition).
https://www.youtube.com/playlist?list=PLez3PPtnpncSKf4E-6NAE...
Very nicely explains different evolutions of philosophical thought that helps you appreciate human knowledge and the current cultural and philosophical status quo, because the course helps you find the common thread that runs through great thinker’s debates.
His course on the Modern Political Tradition has the same effect on political thought and its the evolution. Both are on Audible as well.
https://youtube.com/playlist?list=PLeKd45zvjcDFUEv_ohr_HdUFe...
One of the series I've picked at and skimmed at times for reference and relearning some concepts is MIT OpenCourseware's 6.006 (and other courses) taught primarily by Erik Demaine. He's much better than any instructor I had at San Jose state university and I've learned things better. Even when I watch his lectures and feel like I'm still missing some points, it's very easy to go back and review examples of his.
https://www.youtube.com/playlist?list=PLUl4u3cNGP60IKRN_pFpt...
A rare combination of both extremely important and extremely interesting.
If you watch just 3 or 4 minutes, you'll struggle to stop watching.
https://podcasts.apple.com/us/podcast/history-of-the-interna...
I come back to it over and over because it’s fractally interesting, from discussions of nation-state grand strategy to how FDR made strategic use of a martini.
https://leonardbernstein.com/about/educator/norton-lectures
Also, see his talks for young people:
https://leonardbernstein.com/lectures/television-scripts/you...
https://m.youtube.com/playlist?list=PLKiz0UZowP2V0mwtNv1lc1_...
https://www.youtube.com/watch?v=y7HrM-fk_Rc&list=PL7ddpXYvFX...
>This is one of 18 videos representing lectures on digital photography, from a version of my Stanford course CS 178 that was recorded at Google in Spring 2016.
https://youtube.com/playlist?list=PLruBu5BI5n4aFpG32iMbdWoRV...
I find it more approachable than the book, and taken as a whole I think he makes a compelling argument for a Bayesian world-view.
Stanford course on NLU was pretty good for basic overview https://m.youtube.com/watch?v=tZ_Jrc_nRJY (2019, so a bit dated now.)
Was recently enjoying Paul Cantor on Shakespeare and politics: https://m.youtube.com/channel/UCiopo73uhXPiA3yJV_rg72Q
Not a series per se but I always enjoy hearing John Mearsheimer present his ideas: https://m.youtube.com/watch?v=TsonzzAW3Mk
A nice debate with terry eagleton and roger scruton, who has many really excellent lectures on YouTube: https://m.youtube.com/watch?v=qOdMBDOj4ec
* Donald Sadoway's Solid-State Chemistry lectures: https://www.youtube.com/playlist?list=PL36EC6A6180271B0F
* Anything by Patrick Winston, e.g. "AI": https://www.youtube.com/playlist?list=PLUl4u3cNGP63gFHB6xb-k...
* robert ghrist's calculus lectures, which were somehow clearer/more engaging than others I had found: https://www.youtube.com/playlist?list=PLKc2XOQp0dMwj9zAXD5Ll...
Someone already mentioned Ben Eater's Building an 8-bit computer. Nans2Tetris [1] is a similar course but completely in software, where you start from logic gates and end up with a fully functioning OS. Checkout the cool projects students built on top. [2]
[0] https://www.youtube.com/playlist?list=PLrxfgDEc2NxZJcWcrxH3j...
The professor does an excellent job at explaining every detail, and the lectures end up being even fun. I've enjoyed this a lot.
[1] https://www.youtube.com/@JimKurose/videos [2] https://gaia.cs.umass.edu/kurose_ross/lectures.php
[0] https://www.youtube.com/playlist?list=PLbgaMIhjbmEnaH_LTkxLI...
Althou I have no medical background, I somehow manage to keep the pace with all the old biochemistry knowledge I picked up in grammar school 25 years ago. But it's a tough ride :)
[1] https://www.youtube.com/channel/UCFLlboeliKwkpEUJQF45d3A
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.
https://www.youtube.com/playlist?list=PL9_jI1bdZmz2emSh0UQ5i...
He makes excellent use of visuals and well-crafted examples to get core concepts across without getting bogged down in details that aren't well-suited to a lecture format.
Most of us know very little about early American civilizations. Prof Barnhart's lecture series did wonders for expanding my knowledge.
https://www.youtube.com/watch?v=ji5_MqicxSo
The last life lessons you wish to pass to your children...
1. Finance by Andrew Lo from MIT
2. Adaptive Markets by Andrew Lo from MIT
3. Valuation by Aswath Damodaran NYU
It is a very deep dive into the text of the book. A weekly episode that usually gets through less than a page of the book. It has recently passed Episode 250.
Episode so far are all on Youtube or downloadable as podcasts.
https://www.thegreatcourses.com/courses/cosmology-the-histor...
https://www.youtube.com/watch?v=7EmboKQH8lM&list=PLmmYSbUCWJ...
https://www.youtube.com/@SpartacanUsuals/playlists
And Werner Krauth's
https://www.youtube.com/playlist?list=PL848F2368C90DDC3D
Absolutely brilliant and engaging explanations of some difficult to understand topics. Especially lesson 22 on Emergence and Complexity has been an eye opener.
A topic that's usually only discussed in an emotionally charged climate.
You might not like it if you are a believer in Jesus, although Bart Ehrman tries not to challenge any belief. The flip side is that you might not like it if you are a non-believer, since he spends a certain amount of time trying to massage the message so that not to offend believers. Still, I think you'd enjoy the course more as a non-believer.
It's a history course. It shows how historians can extract valuable information given little (and often time contradictory, and sometimes forged) historical data. You can take these lessons then and try to apply them everywhere. It's going to change the way you perceive history.
https://www.youtube.com/watch?v=p2J7wSuFRl8&list=PLEA18FAF1A...
I don't know why, I've listened it through more than once and enjoyed it a lot.
If you have any interest in astronomy, cosmology, astrophysics or just want to understand the world we live in in a greater context, then watch ist. It is worth your time, and blows every astronomy TV show out of the water.
https://stephenjressler.com/the-great-courses/
Very Spartan in presentation, yet very substantial.
The lectures are free and the course can also be taken as part of OMSCS.
Fantastic course really. It teaches something new and the theory behind it all is really interesting.
Other top-rated OMSCS courses such as CS6200 GIOS are really good as well.
https://stevenpinker.com/psy-1-introduction-psychological-sc...
I loved the CS253 https://www.youtube.com/playlist?list=PL1y1iaEtjSYiiSGVlL1cH... made by Feross Aboukhadijeh
https://www.youtube.com/playlist?list=PL023BCE5134243987
Very engaging lecture. Some parts are surprisingly relevant to this day.
https://www.bbc.co.uk/programmes/b00729d9
Also John McWhorter lectures are usually very interesting and fun to listen to.
https://www.coursera.org/learn/mathematical-thinking?
This brought me what math is about:)
Amazing set of speakers and pretty timeless advice for starting a startup
If you would like to sample it before patronising either of those two businesses, it seems to have been uploaded on youtube.
https://www.youtube.com/watch?v=FNINJcoBa_A&list=PLOxODW9vlV...
https://youtube.com/playlist?list=PL0INsTTU1k2UCpOfRuMDR-wlv...
This was a set of lectures given by Faraday for the Royal Institution’s “Christmas lectures for young people”.
[0]: https://en.wikipedia.org/wiki/The_Chemical_History_of_a_Cand...
[0]: https://youtube.com/playlist?list=PL80I41oVxglKcAHllsU0txr3O...
The intro-psych lectures are part of my morning walking routine.
Other people have linked some Feynman lectures, but they are only in written form. These ones you can actually watch (though u may need to blast the volume to max at times)
[0]https://youtube.com/playlist?list=PLoaVOjvkzQtyjhV55wZcdicAz...
[0] https://www.youtube.com/playlist?list=PLez3PPtnpncSF2QwpCB9C...
(She also held lectures in the US in the 70s, but I couldn't find any recordings in English.)
https://youtube.com/playlist?list=PL22J3VaeABQBlN8DUor7SKWCw...
bidirectional programming is something I like a lot, never thought an evaluator could be encoded like that
He is mostly hysterical in his most avatars. But comes back to centre
- 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...