I am flabbergasted that this is just sitting here on TH-cam, freely available. So many high-level concepts pertaining to machine learning, waiting for anyone who is able and willing. This professor is astoundingly bright, industrially-relevant, and delightfully descriptive. I even like his accent. I will be periodically coming back to watch parts again, trying to soak it in.
I just finished this course , and i can't stress enough how i'm grateful to you professor Yaser for this course .. it was an ART.. i enjoyed every minute of these whole lectures ..
Fantastic course, inspirational lecturer. One can feel the spirit of teaching that Richard Feynmann was known for. Thank you professor Yaser, thank you Caltech. Great, great job.
Thank you Yaser and all the great people who contributed to this. No amount of praise is enough to appreciate the teachings of this course. With the prominence of deep learning techniques, of late the field of ML is turning into alchemy. The general trend for people now a days is to jump to "HOW" rather than asking the "WHY" i.e to seek for results without delving into the factors that made the results possible in the first place. For someone with enough scientific acumen, who asks "why" of ML, I hope this course will serve as a guiding light.
Professor Yasser, no words can express how much I am grateful for you.Thank you so much for this great course. You made machine learning so friendly theoretically and practically.
Can't express enough gratitude to Prof Yasser and all those that made this course content possible and accessible to all of us. After feeling lost and discouraged with my ML journey one chapter into Elements of Statistical Learning, I am once again full of inspiration and confidence. What a course.
Thank you Yaser, that was incredible. My perceptron says this this lecture series will end up being a turning point in history, within a certain margin of error.
This is just a brilliant lecture series on ML. It gives a deeper and fundamental understanding of the subject that you don't get in other courses. Kudos to Prof. Yaser, his team and Caltech for sharing them!!!
What a journey! I'm not sure whether I'll keep walking this path, but what I've learned you can not pay with money. As Aristotle said, all men by nature desire to know. It's been already five years since I finished college and this course brought me back to that good old days, where my main occupation was learning for the sake of learning. Professor Yaser is such an inspiring, intelligent, amusing and enjoyable lecturer. Thank you all! :)
As an alum and former E&AS student, I really loved this video series format because it allowed me to watch it at my own pace. I never took this particular class when I was an undergrad, and it's too bad because I could have applied this knowledge greatly during my career. I guess that makes my E(out) and E(in) to be almost equally as bad - from now onwards, I'll be more vector supported and regularized... Thanks for the excellent lecture - loved the format (please do more)! :)
Incredible course! I watched it again and again, and learned a lot of valuable stuff from it. Thank u for all the people who contributed to all the series,,
After taking different courses on data analysis and machine learning, I dont doubt to affirm that this course is the best one I have ever taken on those topics. Thanks Prof. Abu-Mostafa and course team for making that possible.
Amazing and inspirational course. The professor encourages not only understanding but also love and interest for the field. I think that this is the most motivational ML course. Thank you so much for sharing this wonderful course. Thank you for your generosity.
Now I'm so sad that he lost his best friend. I'll think of you Faiza, though I have no clue who you are. Thank you Professor Abu-Mostafa and everyone else from Caltech.
Thanks a lot to professor Yaser and everyone else involved in making this excellent online course. I found this course when I looked for SVM introduction. I knew little about machine learning then and found the SVM session very helpful. I found the whole series even more helpful when I know more about machine learning. Yaser gave the course in a practitioner's point of view, which make it very valuable, while at the same time, elaborated the theory in a very easy-to-understand way. Thank you.
The course was incredibly rich and a provided a great source of information on machine learning. This is a prove that knowledge could be acquired from everywhere in the world thanks to the initiative of the Professor and his team and the progress of technology.
This is the best ML lectures online, like the professor said, this lecture is the essential part of ML trimmed by the Occam's Razor, thanks for all the effort, now I really have a clear picture of ML! Also the book (learning from data) is a great accompany of this lecture!
The course was rigorous indeed. I am glad to have stumbled upon this in the initial journey of understanding Machine Learning. Thank you Sir, thank you very much.
Thank you so much for this incredible course! All the concepts have been presented in a most clear manner, and masterfully woven into a single cohesive whole.
This unbelievably fantastic! Thank you so much for this lectures, your passion and you amazing pedagogical approach! I am very grateful to all the team!
All done but the final next week ;) This is such a great course and I am so lucky to have taken it through edX with all the support from Professor Abu-Mostafa and his staff of TA's. I can't say enough how great this course is. The homework is designed to make you learn and understand the lectures. The TA assistance was invaluable. Prof Mostafa is a great lecturer and entertaining as well. I feel so lucky to have had the opportunity to learn from him.
While I did it, I finished watching all the lectures. Fantastic! But they could use an update - maybe just an extra lecture summarizing all the recent deep learning progress, which took off right after these lectures were recorded in 2012 (When Hinton first used deep CNNs on ImageNet). Mainly, that ReLUs are now used instead of tanh or sigmoids for the activation function in neural networks, and the common optimization algorithms like Adam, and dropout being used for regularization
It's been an excellent course. Thank you very much CALTECH and Professor Yaser. I give this course 10 out of 10 points. Your examples are very clear and helpful.
The course was awesome! Everything is explained in a very clear way! And in this Lecture we finally saw Carlos, who read questions from on-line audience! :)
Thanks a ton professor, thoroughly enjoyed the course and learnt a lot along the way too! highly recommend the course to anyone who is interested in the subject!
Thanks Professor, this is the most exciting online study on complex and hard course which you have simplified, i was wondering how to do oral exam before my Prof. Farid Melgani at University of Trento, this has added value to my learning and retention of the concepts
Q: If Dollar/Pound model have just binary output (buy or sell) and demostrates bad perfomance. Could we just inverse it and get indeed good perfomcance? :o)
The professor's calculation of the contribution of an individual hypothesis in aggregation makes an unproven assumption: that the so called "contribution" is independent of relying on all others when it is added back.
I am flabbergasted that this is just sitting here on TH-cam, freely available. So many high-level concepts pertaining to machine learning, waiting for anyone who is able and willing. This professor is astoundingly bright, industrially-relevant, and delightfully descriptive. I even like his accent. I will be periodically coming back to watch parts again, trying to soak it in.
It is such a wonderful course, that I have viewed again and again. Thank you Yaser for bringing us to the fantastic world of machine learning!
I just finished this course , and i can't stress enough how i'm grateful to you professor Yaser for this course .. it was an ART.. i enjoyed every minute of these whole lectures ..
Fantastic course, inspirational lecturer. One can feel the spirit of teaching that Richard Feynmann was known for. Thank you professor Yaser, thank you Caltech. Great, great job.
easily the most inspiring course I will feel perpetually grateful for.
Thank you Yaser and all the great people who contributed to this. No amount of praise is enough to appreciate the teachings of this course. With the prominence of deep learning techniques, of late the field of ML is turning into alchemy. The general trend for people now a days is to jump to "HOW" rather than asking the "WHY" i.e to seek for results without delving into the factors that made the results possible in the first place. For someone with enough scientific acumen, who asks "why" of ML, I hope this course will serve as a guiding light.
Professor Yasser, no words can express how much I am grateful for you.Thank you so much for this great course. You made machine learning so friendly theoretically and practically.
Can't express enough gratitude to Prof Yasser and all those that made this course content possible and accessible to all of us. After feeling lost and discouraged with my ML journey one chapter into Elements of Statistical Learning, I am once again full of inspiration and confidence. What a course.
Thank you Prof. Yaser. If in the past, there were had more initiatives like this, we would live in a better world right now. Amazing production.
Thank you Yaser, that was incredible. My perceptron says this this lecture series will end up being a turning point in history, within a certain margin of error.
Thank you, Professor Abu-Mostafa! It was a pleasure!
This is just a brilliant lecture series on ML. It gives a deeper and fundamental understanding of the subject that you don't get in other courses. Kudos to Prof. Yaser, his team and Caltech for sharing them!!!
What a journey! I'm not sure whether I'll keep walking this path, but what I've learned you can not pay with money. As Aristotle said, all men by nature desire to know. It's been already five years since I finished college and this course brought me back to that good old days, where my main occupation was learning for the sake of learning. Professor Yaser is such an inspiring, intelligent, amusing and enjoyable lecturer. Thank you all! :)
What a wonderful instructor, thanks a million Dr Yasser, Egypt is proud of you.
As an alum and former E&AS student, I really loved this video series format because it allowed me to watch it at my own pace. I never took this particular class when I was an undergrad, and it's too bad because I could have applied this knowledge greatly during my career. I guess that makes my E(out) and E(in) to be almost equally as bad - from now onwards, I'll be more vector supported and regularized... Thanks for the excellent lecture - loved the format (please do more)! :)
Incredible course! I watched it again and again, and learned a lot of valuable stuff from it. Thank u for all the people who contributed to all the series,,
My deepest thanks to Yaser and everyone else involved for putting together a spectacular learning experience.
The course complimented well with the idiosyncrasies of Professor Yaser's teaching. Excellent job.
After taking different courses on data analysis and machine learning, I dont doubt to affirm that this course is the best one I have ever taken on those topics. Thanks Prof. Abu-Mostafa and course team for making that possible.
the best online course i have taken
Amazing and inspirational course. The professor encourages not only understanding but also love and interest for the field. I think that this is the most motivational ML course. Thank you so much for sharing this wonderful course. Thank you for your generosity.
Now I'm so sad that he lost his best friend. I'll think of you Faiza, though I have no clue who you are. Thank you Professor Abu-Mostafa and everyone else from Caltech.
Everybody responsible with making this course available for everyone: You are an example to rest of the world! Thank you! =)
Thanks a lot to professor Yaser and everyone else involved in making this excellent online course. I found this course when I looked for SVM introduction. I knew little about machine learning then and found the SVM session very helpful. I found the whole series even more helpful when I know more about machine learning. Yaser gave the course in a practitioner's point of view, which make it very valuable, while at the same time, elaborated the theory in a very easy-to-understand way. Thank you.
Thank you so much. This public course is an awesome project. Great job!
The course was incredibly rich and a provided a great source of information on machine learning. This is a prove that knowledge could be acquired from everywhere in the world thanks to the initiative of the Professor and his team and the progress of technology.
This is the best ML lectures online, like the professor said, this lecture is the essential part of ML trimmed by the Occam's Razor, thanks for all the effort, now I really have a clear picture of ML! Also the book (learning from data) is a great accompany of this lecture!
What a magnificent course. Sets the standard at so many levels. Bravo to the Prof, Caltech and their entire team.
Life changing course, thank you so much!
Thanks you Prof.YASER, you give me a head start in machine learning.
The course was rigorous indeed. I am glad to have stumbled upon this in the initial journey of understanding Machine Learning. Thank you Sir, thank you very much.
Thank you so much professor Yaser and all the team! I learned a lot from you!
Thank you so much for this incredible course! All the concepts have been presented in a most clear manner, and masterfully woven into a single cohesive whole.
Great course, the most fundamental in machine learning.
I am so grateful for joining this course on youtube and watch such great prof. teach for free.
Thank you for truly amazing course on conceptual and theoretical machine learning i have ever seen
This unbelievably fantastic! Thank you so much for this lectures, your passion and you amazing pedagogical approach! I am very grateful to all the team!
Thank you! This is one of the best courses that i've ever followed.
Great course! Great teacher! Please do this for more courses! You're an amazing teacher! Thank you!!!
Көп-көп рақмет, керемет курс! Sending big thanks from Kazakhstan!
This whole course is pure gold. Thank you.
All done but the final next week ;) This is such a great course and I am so lucky to have taken it through edX with all the support from Professor Abu-Mostafa and his staff of TA's. I can't say enough how great this course is. The homework is designed to make you learn and understand the lectures. The TA assistance was invaluable. Prof Mostafa is a great lecturer and entertaining as well. I feel so lucky to have had the opportunity to learn from him.
Great Professor, great lecture. The acknowledgments are simply moving!
It still feels relevant in 2020. Thank you.
I very much appreciated this enjoyable and informative course. I also very much appreciate that this course is open to anyone anywhere.
This is the best course that I ever have. Wonderful ! Thank Caltech and Prof. Abu !!!
Fantastic! Thank you all for providing this!!
Excelent course and inspiring Professor !! Thank you !!!
One of the best lectures I've ever had the privilege to study, I really apreciate it.
How wonderful that I found and watched such a great lecture series. Thank you professor. Thank you Caltech.
best machine learning course explained inside out， many thanks to the prof
Excellent teacher, excellent course. Thanks Prof. Yaser.
While I did it, I finished watching all the lectures. Fantastic! But they could use an update - maybe just an extra lecture summarizing all the recent deep learning progress, which took off right after these lectures were recorded in 2012 (When Hinton first used deep CNNs on ImageNet). Mainly, that ReLUs are now used instead of tanh or sigmoids for the activation function in neural networks, and the common optimization algorithms like Adam, and dropout being used for regularization
Thank you.. just thank you. this was incredible course and i will view this so much time, i am sure about it. my fav lecturer so far
Thanks to everyone involved in providing this fantastic course!
It's been an excellent course. Thank you very much CALTECH and Professor Yaser. I give this course 10 out of 10 points. Your examples are very clear and helpful.
You teach so well that you can preach about Human Learning next time!
Fantastic professor. The world becomes better with the course.
The course was awesome! Everything is explained in a very clear way!
And in this Lecture we finally saw Carlos, who read questions from on-line audience! :)
Best ML course I've taken! Thank you! Hope there will be more courses from you, professor!
Many thanks Prof. Mostafa for such a wonderful course. Each and every video lecture is a gem :)
Thanks a ton professor, thoroughly enjoyed the course and learnt a lot along the way too! highly recommend the course to anyone who is interested in the subject!
Finally finished the course, totally worth it!
Thank you Sir. I have experienced a great learning journey from this course.
Regards
RSK
Absolutely well done and definitely keep it up!!! 👍👍👍👍👍
Thank you a lot for these amazing lectures. I feel like I returned back to my university classes.
What a fantastic course!
Anyone got suggestions on other such high quality courses?
Hats off. Thank you Prof Yaser and thank you Caltech.
Thank you so much... Really a great help for ML study during the horrible COVID-19.
Thanks Professor, this is the most exciting online study on complex and hard course which you have simplified, i was wondering how to do oral exam before my Prof. Farid Melgani at University of Trento, this has added value to my learning and retention of the concepts
Thank you for your selflessness!
So helpful.
谢谢！
thank you! It's a great course. I learned a lot from. Thank you every one for making this happen.
This guy deserves 10M dollars for this course
Great course . Very much helpful. Great Work
Amazing Lecture Series! Well organized and perfect for graduate students. Thanks a lot :)
Thanks Prof. Yaser, it was an amazing course I have ever taken :)
Awesome lectures. They were very helpful.
Such a good contents are avaleable for free 🤗
Warm sound, new things in data science that havent mentioned in other
Thank you, great lectures and I have learned a lot.
Thank you! I have learned so much from this course.
Thank you for the course! It was a pleasure to study.
Best course. Best Professor!
Thank you very much for this great course and its excellent didactics!
Excellent lecture... Thank you for everything
Very good lecture...
The book should cover all topics in the on line course.
Thank you professor.
Outstanding professor!!!
Carlos looks quite different than I imagined. :-)
Thank you so much for providing this course!
Professor Yaser is the honor of Egypt
@44:00 Conjugate priors
Is the dedication at 1:08:29 to the professor's mother?
I too was wondering who she is.
Thank you very much for sharing the knowledge to everyone.
Great Course! Thank you so much! I bought the book too!
Q: If Dollar/Pound model have just binary output (buy or sell) and demostrates bad perfomance. Could we just inverse it and get indeed good perfomcance? :o)
Yes, totally that what we did the most of the time when we get this result.
The professor's calculation of the contribution of an individual hypothesis in aggregation makes an unproven assumption: that the so called "contribution" is independent of relying on all others when it is added back.
awesome !!! Thank you.
This is like The Bhagvad Gita for Machine Learning !!! Both have 18 chapters :)
man this was a great journey
Great curse. Thanks
As Siskel and Ebert used to say, "Two thumbs up. Way up!" :-)