The hws are good and test if you get familiar with all the materials in class. Exams are like hws but not so difficult if you do well on the hws. Recommended !

Loved the lectures . Exams will be hard have to practice a lot.

He always explains things from basic knowledge and he is very helpful to answer your questions. I learned a lot from his lecture. You can drop your worst three assignments (we had about 13 assignments totally) and your worst midterm (we had three totally), which is super considerate. He is polite, mostly serious( humous sometimes) and respectable.

This course has given me a lot of learning on practical applications of machine learning. One can take it even without any prior knowledge about the subject. The homeworks were good and provided good exposure to students from a programming perspective. The professor is polite and very patient in answering queries. No laptops/phone usage in class.

Clears concept and makes you a master of the subject. Genuine, caring, hilarious, fair, in short, the complete package. As a professor he is friendly and you can go to him for advice regarding things like Ph.D. screening exams. One of the best professors I have come across in my 6 years in academia in 2 continents :)

Prof Rajati has a very solid understanding on Machine Learning knowledge and he is absolutely an expert of Statistics. This course is a really good course for Machine Learning entry level students. Homeworks are tough but helpful on understanding ML skills and models. There are extra credits on midterm and final exams. Highly recommend this course

A wonderful professor, it was treat for me to take the course with him. Grading policy is quite good, as he provides option to drop drop the worst exam that we perform.

The professor has a very clear organization of what he is teaching, the lecture and the homework are heavy, but finally you will find it pays off. The midterm and final are really tough, but the grading scale is pretty friendly and you could drop one of the lowest exams. In one word, it requires hard work and will get good grade.

Quite possibly one of the best lecturers I've come across at USC. He's a veritable expert in the maths and statistics behind machine learning, and always ready to take questions even outside class. He really does care about everyone understanding the concepts. Homework is tough, but totally worth the effort, since you'll end up learning a LOT.

I had EE 510 and EE 559 with Prof. Rajati. His style of teaching is extremely organized, he encourages questions, and he covers a TON of material. He genuinely cares about students and helped me get through a difficult time. Sets homework that requires a lot of thinking but easy exams. Would definitely take another course by him.

Best professor I took classes under at USC

This course focuses on understanding the core concepts of machine learning. The Homeworks can be time-consuming but at the end of the day, it will help you build some intuition. I found this course helpful in preparing for machine learning and data science interviews. I highly recommend this course.

The best professor at USC ! Hands Down . Took INF 552 under him . Made the coursework extremely comprehensive with right blend of programming assignments and theory in his lectures . The HWs are very thorough and requires time and efforts to solve and it feels very rewarding upon completion . Gives advice on pursuing research & cares for students.

Good professor! we got lots of ML knowledges in his class. The grading is FRIENDLY!

I learnt a lot from this class even though the exam is hard. There are ton of homework in this class, and some of them are difficult. This class is worth for learning ML.

The best professor you would expect in college. Lots of assignments though, but will be really helpful if you finish them by yourself.

Please take this class only under Professor Rajati! He is very knowledgable and truly considerate of his students. He really cares that you do well and is inspirational. My Machine Learning skills are ow strong, and I completely owe it to him. Exams are tough, so are the homeworks, but the learning process makes it worth it. Totally recommend.

Very easy class. Homeworks were weekly but very short and tests were easy. Seems like a good guy and has potential to be an interesting and good lecturer but honestly the class is useless. I feel like the boring and pointlessness of the class is more due to the content that is supposed to be taught rather than Rajati himself.

Best prof at USC for the machine learning course!

The professor gives lectures with many prepared contents with combination of theory and practical in ML. The students would know the application of what learned in 503 and 510. Basic experience in Python and SKlearn usage would help dealing with difficult assignments. The exams and grades are not tough. Study hard so that would benefit a lot.

Best professor at USC! Amazing lecturer and really cares about his students. He makes you work hard, however it is totally worth it given how much you learn.

Definitely would take his class again!

Took this course as an EE student with not much confidence in coding & zero ML knowledge. Prof Rajati is a gem. Wonderful, interesting , engaging and lucid clear lectures! Thought provoking HWs & not too difficult exam. I learnt a lot from him & this class. It was a privilege & I look forward to taking more courses under him. Friendly grading!

Overall he is a kind instructor and I receive a good score after the final exam, though I actually know nothing very well. The projects are based on python, personally, they are quite useful to a data positions.

His homeworks are hard, but you have plenty time to do them. In class he doesn't even touch code, only teaches the theory (which there's lots to cover), leaving the coding practice for the homeworks. During the semester there is no practice of math solving questions, but they do show up on exams. There are sample tests for practice though.

if you want to learn Data Science, take this class. if you study and do the homework you can definitely get a good grade. the professor is very engaging and likes you to absorb the material in the best way possible. it is worth mentioning that classes are material heavy, a lot to absorb but by end of the semester, you won't regret it.

I highly recommend taking this course under Prof Rajati. HWs and exams are hard but very interesting and industry oriented too. Helped me prepare for Data Science interviews. Professor genuinely cares that you do well, answers questions patiently and helps a lot. You will definitely like this course.

Hw are difficult in the beginning but you learn a lot. over 80% class get A, A-. Work hard and you will love this course.

This guy is amazing! Definitely on the run for best professor I had at USC. He is super knowledgeable in a way that he can always try giving you multiple explanations if you don't get the first. He really cares about the students learning and is good at it, and also successful: 80% of the class gets A/A- and that is because everyone learns a lot!

Materials are definitely hard, but it's not at all hard to get an A. Labs and Problem Sets are manageable as long as you go to TAs' discussion sections and you will be just fine. He also gives out extra credits on Labs and PSs so that you can make a few mistakes and still get full scores. Exams are only 20% (10% for midterm and final each). Easy A.

Prof. Rajati is very knowledgeable, challenging, but also generous. You will learn a lot in machine learning -- both how to program & the theory behind algorithms. Homework assignments are substantially time-consuming & challenging, but TA's are there to help you out! So give it all you can to truly learn in this class!

The best professor I have taken a course under. I have taken multiple courses from EE and CS departments and Dr. Rajati is amazing! I wish there were more educators like him at USC.

very clear lectures and he's willing to reexplain things if you ask. He also gives a lot of opportunity for participation during the class. HWs are VERY long and difficult and exams are tough but fair. Math heavy but doable even w/o math background. he can be a little tough to talk to but he wants the best for students overall

I took this course over summer + an internship, expecting the worst. I left with an incredible amount of knowledge and appreciation for statistical learning, and I owe it to Professor Rajati. This man is an absolute breath of fresh air. Tough but fair course, answered any and all questions (trust me!), and solid lectures. USC - we need more of him!

Prof. Rajati is a Guru of Machine Learning. Very clear lectures and he's willing to answer any and all the questions you might have. Professor also gives a lot of opportunities for participation during the class. They really cares for his students. Do not worry about the grades almost 80% of the students will get A/A-

He is a good professor. The homework is long but you will learn a lot. And the average grade in the end is around A-. TAs are also helpful. Learned a lot after taking this course and will not regret it.

One of the few professors that actually cares about you learning material versus obsessing over grades. The homework assignments are long but doable and very useful. The exams are hard but designed to help you learn not pointlessly suffer.

I'm a non-CS student so it took me some time to catch up. The prof is caring and the lectures are well-organized. Even HWs are heavy but I learned much from this class as a non-programmer. I would highly recommend this class!

This class is so easy to get an A in. The professor is sweet and funny. He never wants to overburden students, but his lectures were always very boring and useless. I never went to lecture after the first week. We had to buy an online interactive textbook that taught us all the material. If you want a stress free class, take this one.

The final was super tough, but the class wasn't. 60% of the class got an A, and 75% got an A or an A-, which is way higher than other CS classes. All assignments, including the midterm and the final had opportunities for extra credit, so scores were generally high, especially across labs and problem sets (which were 50% of the class's grade).

My favorite professor so far. Very inspirational and does his best to make statistics and machine learning fun. However, his first midterm was the most difficult test I've taken in my life. His grading is extremely generous but the material and exams are challenging if you are not a math background.

Since this class is an intro to C++. It is very easy, only 2 test throughout the whole semester, and a lot of extra credits opportunity. You don't have to show up in this class to get full credit.

A lot of people seem to be review bombing Rajati, but they are just the minority that didn't do well. 60% of the class got an A or A-. It's effortless to get 100s on every HW through EC. The midterm and final are easy if you attend every lecture (only about 1/4 of the class attended by the end). Rajati is charismatic and funny (he'll roast you).

Easy class if you go to it and learn how to Google bugs

HWs and exams are tough but have extra credits. You should learn linear algebra and probability well in advance because there is a lot of math in this course.

Good professor

Very easy class, and he is an awesome lecturer!

Advanced Stats is generally a hard concept, but he makes it easier. The class is curved so that is good.

You will feel challenged if it's your first time taking a serious python course or a machine learning course. But the homework and the syllabus layout is pretty good, so as long as you do the work, and take the course, you'll be fine and learn a lot.

You can tell he really cares about his students and wants them to do well (and the vast majority of 360 gets an A). You learn a lot, especially in the second half of the course, but there's not much to stress about in his class, so you should take it in your most rigorous semester to balance out harder requirements.

He cares so much about his students!!! Also, he provides so many late days/drops/extensions in the syllabus and class, which allows you to have some flexibility with the assignments. The information provides a good intro to AI, but nothing too in-depth. He's very passionate.

He's an insanely sweet guy and really cares about his students. He's not necessarily the most engaging lecturer, but I think it's hard to be engaging when teaching some of these concepts. Overall, if you do the problem sets and HW, you will learn and be alright. The 2nd midterm is tough compared to the 1st but he'll curve if necessary. Don't stress

Rajati is a wonderful person and his course is very interesting, but it's so easy not skate along without learning anything and not pay the price until the end. Try to stick with his lectures and do problem sets on your own!

This class is not too hard, even if you don't have prior programming experience. It's largely independent learning though, so be prepared for that. Overall, the class works as a good guide to learning C++ and Professor Rajati is a nice guy.

Grades are not a problem in this course, a majority of students get an A. The material is interesting if you enjoy machine learning and statistics, plus the professor is clearly passionate about it. Take this course when you need a chill/interesting course for your schedule.

Very nice professor. Lectures are clear. HWs are just long, not difficult. They can be done in 1-3 days, and you get to drop the lowest. Final was easier than midterm. Very generous grading. It depends on your standing in the entire class. 40% of the class got A, 27% got A-. Also he talks about some career tips if you need.

This semester attendance for class was mandatory instead of labs. However, we had to watch his pre-recorded online lectures before going to class where we would just sit and work on homework the entire time, which I did not like. However, very easy grading and there is a lot of opportunities for extra credit.

In terms of content -- it can pretty much be self-studied in a week, but I loved the professors exams because knowing how to "write code" is simply not enough for the midterms. If you are aiming for the perfect 100% on midterms, be prepared to read every small detail in the zybooks because the overlooked details are tested. Prof great at explaining

By far the best professor in the university, and one of the best courses. The professor teaches extremely well, genuinely cares for the students, and grades generously. Even his TAs and CPs harbor a learning environment, give good feedbacks on homeworks, take regular Online Hours, always help out. Course is useful for industry & job interviews too.

Lectures are clear, but homework can get quite long. Unstuck ai and study groups helped me manage the workload. Overall, a rewarding class if you stay engaged.

He is an amazing professor. Probably the best one at Viterbi. He is hilarious and teaches insanely well. I wish the exams were offline as I feel after switching to take home exams, it doesn't motivate students to study.