I am a seventy five year old retired lawyer. I congratulate you on your excellent teaching methodologies. I have improved my knowledge regarding the Periodic Table and now nn or ml learning. Thank you sir.
After reading your post, an old, favorite quote came to mind: "What we become depends on what we read after all of the professors have finished with us. The greatest university of all is a collection of books.". Thomas Carlyle
Really cool that you’re doing this videos Jason, in this format. I have done at least 100+ hours of math at your website, and you were the one influence that made me realise that I was “smart” enough to study CS and Math.
Your explanation is good sir, nailed it easy and simple lots of love from india, my youtube math and science teacher, thanks a lot sir, you dont know sir, how much you are helping students
Back a few years ago when I took a 5 five plan on your website I knew you were the best tutor out there. The particular attention you give to me (us) is more valuable to me than a college class. Thank you Jason for all your hard work and all the lives you are impacting. I hope you get more subscribers and continue making more videos.
Only who understand well can make it simple and easy to grasp. Good teacher is a talent, hard work, dedicated to your job and having the will to give your best, I think you enjoy teaching too. it is a great achievement to make people like science and you did it.
OMG its you when i first start study electronic engineer at univercity at 2017 i was struggle understanding on circuit analysis course becasee the professor went too fast he didnt recall about any principle knwledge so i search on internet and found your course i learn 2 or 3 course from you and now 2024 i'm about to change my career and its you again thank you so much for everything sir you are one of my great teacher i respect you from all my hearth
As a cell biologist I am happy that finally somebody made the basic principles of deep learning very clear! This is exactly what a very interested non-AI specialist should know. By the way you do that for ALL your contributions. EXCELLENT and thank you!
I watched hundreds of videos to understand the topic, they all started from an advanced point that's only understandable by professionals. You sir explained the basics very good that a non professional like me (I'm a radiologist) could figure out the basic idea. Thanks so much 👍
As usual, the best explanation from Jason. Actually I’ve been waiting for you having a course on ML and DL long time ago. Kudos for you Jason, you’re more than amazing!!!
This is a great introductory video in the AI area. Apart from physics, math, chemistry, bio, electrical engineering, etc. I never thought you could do a great video in this areas, i.e. AI, machine learning, reasoning. You are an exceptional educator.
Sir I'm a teenager and I'm from Pakistan 🇵🇰 and I'm poor and I have no access to higher school and colleges so continue your work especially about the new discovery AI and MACHINE LEARNING and Quantum computing I will be so thankful to you for this act of kindness
Man, Sir, you deserve a deep respect for this presentation. You have nailed it to the most important aspects and in manner that people can not only understand it but also be able to make experimental setups in the Matlab. I am writing this because I read about it and listen about it , watched other NN RU-vid presentations even tried myself , and I understood the NN to some degree before. However, this is the first video , after I have no questions about it. Does not mean I understand all, it just left me to understand enough to be on my own. Thanks so much.
Very nice intro, thank you. As a theoretical physicist trained in quantum mechanics (aka Hilbert spaces) it was easy to follow. And I know how difficult it is to develop such lectures, with the interested but not very experienced student in mind, so thank you again and congratulations!
the first time i subscribed to your channel after listening to you, i developed a new hobby to study even more.You make the complexities assiciated with learning very simple .You are a great teacher
I could easily say this was the best explanation of any concept I've watched on youtube. The emphasis on explaining the building blocks of a hugely misconceived topic such as ML is amazing... Well executed 👏🏾👏🏾👏🏾
Dude, your explanations and way of teaching are really incredible! The pace, the simplicity... 100% on point, I'm also glad that you went back to describe the math basics as they were needed. Thank you man!
Your presentation on this subject is truly exceptional. I was particularly impressed by how you incorporated visuals like pictures of cars, trees, and stop signs to deepen our understanding of the topic. Your passion and dedication to teaching shine through brilliantly
This is a nice lesson. I was a volunteer for the Galileo Project and helped identify aircraft for their machine learning to Identify UAPs. I think I classified almost 3,000 images and about 20 other people did also so it takes a good bit of data input to teach AI something :)
Clearer intro. Thanks. You took me from the level of concepts...to appreciating the relationships among the concepts. I got one relevance of matrices. It looks like an intelligence knew mankind would need matrices one day, to develop AI. Awesome!
I bought the whole collection of Jason's DVDs when my kids were smaller -- and it certainly helped them. Even now I yell at them to review the right video when they appear confused about University topics.
A great intro! Very well presented! for some 15 years ago, I took my first stab at AI, in the form of a genetic algorithm, and some time later I did my first neural network. I wish I've had this tutorial under my belt before starting on those projects, it for sure had made it much easier!
This is the best video I’ve watched on the explanation on how AI works. It’s the perfect balance of the high level solution and maths for a non-maths person, like myself. I highly recommend investing the time in this video.
Oh wow, Jason killed it. This is the best explanation of Neura Network iv seen. Yiu made it understandable for any dummy. Pls do more of this on AI/ML concepts. You are just the best.
Thank you so much sir ! This is one of the greatest lectures about NNs. I thought I have a good idea about NNs, but this lecture really opened my eyes about what is really under the fancy term "Neural Networks". Again, thank you so much. Hope there will be following parts to this lecture.
The algorithm of YT somehow led me here, based on related videos, which ultimately stemmed from one of the many AI alignment concern videos. It kind of feels like figuring out the degrees of separation from Kevin Bacon, lol! But after watching this video, I am sitting here thinking about how I ended up landing here, based from the inputs times the weights, and adding a bias, from my previous viewings. However it worked, I am thankful for it! You are one of the very few creators that completely grabbed and held onto my attention AND interest. You explained things in a logical progression, with adding layers of context, to get a much deeper level of understanding, with just enough of the side reminders on how the math was calculated. I subscribed and look forward to learning more!
And to add to my comment - The last (and most enjoyable) mathematics class I ever took in college, was Finite Math(I think that was the name), and that was when I was introduced to matrix multiplication, etc. I have never had a need to recall how to use it in real life since then, until now. To give you an idea of how long ago that was - I was sitting in that class when I lived in NY, and 9-11 happened. We were all sent home after that class. But, of all the math courses I ever took, I truly enjoyed that one. So with you bringing that up in your teaching, it really helped me to start having a better grasp on it all. Thank you!
You are the best instructor then Harvard, Columbia, either other top colleagues…thanks for outstanding presentation and teaching style…thanks so much as always…
I would love to see more videos about this topic done by you. You make the poison sweet by your sincere and unique way of presenting it. The key word is math. It’s the ambit that makes everything looks nice.
Assimilated; thanks. Hoping for a sequel or two; I actually already knew this much; what I haven't found yet is clear explanations of what transformers are, and what's _attention,_ as in *_Attention is All You Need._*
Hello Jason. I Just found this channel. Thank you! I have read a lot about quantum physics, AI and early biochemistry and ethics over last 3 yrs - for fun. As I don’t sit and study it for the purpose of exams etc, it’s hard to purposefully learn and recall what I’ve learnt, but clearly the ideas do start to embed. I recently started to have an “aha” moment re ML and NN in terms of the fact that any (complex) function can be written as a sum of (many) individual linear functions. This gigantic effort of a video has really helped. The actual “reveal” of the black box mechanism - albeit obviously simple - but the fact that you broke it down and worked through it has really helped me feel I have a much better grasp. I look forward to teaching/ watching with my 14 yr old son and using your excellent teaching to help him understand it too. For me I watched at 1.75 speed and felt it was absolutely perfect. The other thoughts for your interest is how to take the theory and “play with it” and create some AI deep learning networks. Appreciating that for example with image NN etc there are thousands of pixels and the enormous matrices that result require a lot of computing power, is there a way to actually get hands on experience and actually building a DL algorithm? Is there a software, some examples we could try, maybe download or use some small amounts of cloud time, work with our kids and actually get them to go from theory to “making something”? Have you done anything practical like this yourself? Am not thinking of making an amazing tool for anything actually useful; but just to get that next step of insight… Apologies if how I’ve conveyed it is naive, but I’m a doc, and this area is conceptually hard even though it’s a regular hobby horse :) I really believe teenage kids need to understand how these tools are powering the future and the decisions and lives they will lead; the more they can get a handle on how it works, and the challenges, the more they can collectively (and without all being AI researchers) bring more thoughtful discussions to create the world of tomorrow.
Check out a textbook called fast Ali. You can find a soft copy on the internet. It includes a very detailed explanation of what Jason just explained in this video. It also includes codes which each paragraph therein, so you immediately apply what you’ve learned. I am currently a master program student in data analytics and we use this textbook for ML topics. Although it’s for academic purposes but you’ll find it easy to read and apply. You can find recorded lectures of the chapters of this textbook as well.
Your british accent is awesome! nothing to laugh about! I'm watching a lot of your videos (had a terrible time in school many years ago, and now I want to refresh my knowledge and do it in english) , you are a good educator and person! thank you so much, your videos help me tremendously!!
Awesome overview of AI in regards to ML!!!!! You answered a plethora of questions around AI, NN, ML concepts. Tremendous job starting with Real World Applications so that AI becomes practical vs. theoretical eliminating some the mystery surrounding AI, especially the comparisons to the human brain being its inspiration. When you stated that at the very basic levels of these algorithms was Algebra, I was skeptical and didn't really believe you, but then you proved it!!! I now know why you are/were a Rocket Scientist working at NASA and now the ultimate Professor/Educator!! Explaining step by step granularly using everyday or basic math/Algebra terms and vocabulary then connecting that to specific AI vocab, I understood everything. I stopped and went back to listen several times to ensure I followed you to the next step. I must admit the matrix part was a little fuzzy at first because I had forgotten it. But your explanation of how a matrix works was a good review and the concept came back. Thank you for delivering the lessons in a manner where it makes sense to you first without apology (admire the confidence and honesty); then relaying that information to the learners in a way that is clear, concise, effective and comprehensible. Your visuals were extremely helpful-simple, clear with distinct basic colors. Standing ovation to you, sir!!!!
What a wonderful way to get into neural network learning. You were doing a fantastic job. Can you explain further Q-learning etc in another video, please?
I certainly enjoyed this since the hot topic has been "AI" as if it were sentient on media and news and public discussions. Clarifies to my satisfaction how to keep it from going off on it's own largely. Math.....functions, derivatives and basic algebra....applied. Thank you very much for posting this. It helps us reason better with a deeper understanding of what's current and future as we embrace it with suspicion, yet we can supervise it's development far better as we learn the good, not so good and things we can actually do while we experiment with it's neural network capability. Some currently are amazing the originators with good interpretation of our intent while feeding data that's got it's own bias causing problems suddenly. I can't discuss this with the average individual since most seem math challenged totally. It's a shame the press does such a lousy job of explaining it like you have, sir. Appreciate this greatly now that it's here and live working....helping and alarming as well. Godspeed.
This is a a 💎 in a rough of videos on the subject. Hope you still read comments! Please add ML and DL, NN And deep dive into Transformer math to your course work. Would gladly pay.
I appreciate Very Much! that you start with the WHY! what this is the purpose for this! Many presentations if not all start or arr all about HOW ML works without any purpose !
Thank you sir , u seam very good in breaking down the Neuro network very good .... very interesting indeed although some parts are very complex but I have enjoyed the meal for my brains . 🎉
I enjoyed watching your video on the introduction to Neural Networks. This is an interesting field of study. Python is one programming language that is used to develop and build Neural Networks. Calculus, Linear Algebra, Discrete Mathematics and Probability/Statistics are also helpful for studying Neural Networks architecture, design and implementation.
