Fantastic Experience

Very useful, indeed.

Good Starting Point

Awesome instructor!

Easy to understand!

Very good course

Excellent course

Great Learning

WORTH LEARNING

Amazing course

Great course!

very good!

Excellent!

Excellent.

Excelent!

Good KT

good

Good

nice

很好

The course was very informative and I feel that I have a much better understanding of machine learning, and the process of selecting a model, training and testing it. I also have a better understanding of different types of Machine Learning that has opened my eyes to the breadth of what may be possible. The only difficult part of the course was the course project where there are some options on building a small ML model and evaluating it. I didn't feel well prepared to build a model and evaluate it well and got very bogged down with that portion of the course.

This foundational class is actually a pretty deep dive into the science/math of ML/AI. I wish there would've been guidance along the way of *how* to implement what was being learned (i.e., exercises to follow along with the instructor in setting up a model). Instead we just had to figure out to how to make things for the final project that we'd never seen done. Other than that, it was a good way to learn fundamentals.

This course helped me gain a solid understanding of machine learning concepts, especially around modeling. The lectures are presented lucidly and are very nicely organized and paced. The project assignment really forced me to apply what I had learnt in a real life scenario. Above all, it has triggered my interest to explore more apply what I have learnt in the role I am expected to play at work.

Extremely useful. It would be valuable to include guidance on using the essential tools, especially focusing on the most accessible options for students without technical experience. I gained valuable knowledge, and Jon Reifschneider provided clear examples while maintaining an encouraging teaching style. So I'm glad I followed this course and thank you :)

Good course on the fundamentals, but it seems slightly dated now given the explosion of LLMs. The course barely spends a sentence or two talking about "transformers" for text processing (the foundation of LLMs), but that's all. It really could use an extra module or two now to get it more up-to-date.