Professor Sankararaman is an amazing lecturer, and he explains concepts in a clear and concise manner. For my quarter, there were eight quizzes in total (pretty much one per week), which was somewhat inconvenient. However, I learned a lot from this class, and it was overall a highly enjoyable experience. I would definitely recommend taking this class with this professor.

grades were curved down. homework 50%, midterm 20%, and final 30%. if ur exam scores on midterm and final are higher than the median, and did all the homework, u should secure a B+ at least. not a easy class if u have no prior knowledge in ML.

This class is very theory and math/proof heavy, which I struggled with as a Data Engineering Minor. Long, long proofs in class for machine learning models, difficult to focus on. The homework assignments were some light math assignments, then Python coding. The midterm exam was easy, the final exam was the hardest exam of my entire life. If you need to take this class, this professor is a solid choice.

Go to lectures, they're good. Go to OH, Prof. Sriram is a nice guy. Take the homeworks seriously and start early, they take less than 5 hours each on average and there are only 4. Pretty frustrated to see people ask for extensions when they aren't really needed. (We have 2 ! weeks per pset). Midterm median was pretty high (it was also way too easy) at 93. Final exam was harder (relatively speaking, but not hard in general. Pset level of difficulty for the questions) with median of 74.5. We could have been downcurved this quarter if the average was higher. For that reason, I thank the DSE minors who took this class.

Sriram is one of the best professors I have had at UCLA. He genuinely cares about students' learning and answers any questions. There are 4 problem sets, which are kinda long and are each worth 10%, but if you start early/with others they're cash. Quizzes every 2 weeks, with the lowest one being dropped, and each worth 5% (4 counted quizzes), which are pretty easy most weeks but can be a bit tougher towards the end. Midterm and Final were both 20%, and the midterm was easy, with the final being tougher. Overall, a great CS class and elective, would highly recommend to anyone.

If you want an easy A look no further

The instructor is the best one that I've ever had in UCLA.
There are 4 labs for 40% of your grades, 6 quizzes, the first one is math review is not count as graded one, from other 5 quizzes he will drop the lowest one and 4 remaining quizzes worth of 20% of your grade, and final and midterm both have each 20% of the grades.
Both exams are open books and open notes and both are in person.
He always use slides and they will posted before the class for students to use to take a note during the class.
Annotated slides also will be posted after each class.
He is caring, super organized, and clear on his explanation if you ask questions in his class you do not feel you are dumb, he is patient to go over the concepts and explain until students to understand.
I highly recommend to take the class with him if you want to really understand something about machine learning you should take this class with him.

Lectures are clear and slides are provided.

There are easy quizzes most weeks.
There are easy problem sets with coding sections.
The final was easy compared to the EC ENGR C147 midterm (took in same quarter).
C147 helps with M146 more than M146 helps with C147.
Machine learning topics aren't viewed from a big-picture perspective and aren't really related to each other from week to week.
Machine learning topics are pretty boring.

Overall a great intro class to ML, a good prep course for C147

Didn't attend a single lecture but the class is popular and well-structured. The TAs are very knowledgeable and very quick in grading. ML concepts are boring though.