I think this sentiment certainly existed among some of the younger CSAIL professors- in fact I interviewed for a UROP once with an unnamed professor and they asked "what related classes have you taken so far?" And as soon as I said 6.034 (before I could even finish the list) they said "I'm sure that class is fun but so is a cooking class, it isn't relevant here".
But I'd like to think it wasn't the prevailing sentiment in the department. I actually think a little bit of it stemmed from jealousy about the student praise PHW received. Because I know plenty of students that are now doing more "modern" or "hardcore" ML research that praise 6.034 highly.
It's true that 6.034 did not teach enough math to jump right into theory research, and it's true it didn't teach enough modern implementation to go right into an industry application. But it certainly didn't look like a textbook from the 90s! Professor Winston reworked the course a little bit every year. He gave excellent lectures on the concepts behind deep learning and reinforcement learning. He brought in current professors to present their research goals almost every Friday.
It covered plenty of modern topics, just in a more abstract sense. Which is perfect for an intro course, especially one that is taken by not just CS students but those from many departments (even graduate students in architecture, business, etc.). I think it's so helpful to start with understanding these concepts and then work through the details, rather than start in the weeds like many other courses do.
He did also spend time covering older concepts, which are still good to know, especially when presented through the lense of the history of the field (in academia and business). That's just not something available in any other courses that I'm aware of. Same thing with his amazing communication advice and his sharing of interesting biology, psychology, and neuroscience research.
I sincerely hope 6.034 will continue on somehow in the spirit of the original course. It was inspiring to many students, with life/career lessons that are memorable well beyond school. MIT has plenty of good more traditional ML courses, as do many schools. What I haven't heard of elsewhere is something like 6.034. It was one thing that made MIT unique I think.
Anyway, that is rambly, but I just wanted to defend not only the execution, but the philosophy of 034 (or my take on it anyway, can't speak for PHW). And I hope that the minority that dislikes it doesn't try to take over the course now.
But I'd like to think it wasn't the prevailing sentiment in the department. I actually think a little bit of it stemmed from jealousy about the student praise PHW received. Because I know plenty of students that are now doing more "modern" or "hardcore" ML research that praise 6.034 highly.
It's true that 6.034 did not teach enough math to jump right into theory research, and it's true it didn't teach enough modern implementation to go right into an industry application. But it certainly didn't look like a textbook from the 90s! Professor Winston reworked the course a little bit every year. He gave excellent lectures on the concepts behind deep learning and reinforcement learning. He brought in current professors to present their research goals almost every Friday.
It covered plenty of modern topics, just in a more abstract sense. Which is perfect for an intro course, especially one that is taken by not just CS students but those from many departments (even graduate students in architecture, business, etc.). I think it's so helpful to start with understanding these concepts and then work through the details, rather than start in the weeds like many other courses do.
He did also spend time covering older concepts, which are still good to know, especially when presented through the lense of the history of the field (in academia and business). That's just not something available in any other courses that I'm aware of. Same thing with his amazing communication advice and his sharing of interesting biology, psychology, and neuroscience research.
I sincerely hope 6.034 will continue on somehow in the spirit of the original course. It was inspiring to many students, with life/career lessons that are memorable well beyond school. MIT has plenty of good more traditional ML courses, as do many schools. What I haven't heard of elsewhere is something like 6.034. It was one thing that made MIT unique I think.
Anyway, that is rambly, but I just wanted to defend not only the execution, but the philosophy of 034 (or my take on it anyway, can't speak for PHW). And I hope that the minority that dislikes it doesn't try to take over the course now.