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.

The course was engaging. The assignment at the end seemed like a BIG leap, and it was made much harder with no-code tools like AutoML being really hard to use (I had to give up and find another no-code platform to complete the assignment on). Very glad I did the course.

Liked the course, since it is a profound introduction to the broad field of machine learning. When it comes to NNs and CNNs, I think the course focuses too much on mathemathical aspects and lacks a bit the an easy and intuitive explanation.

Super useful course to familiarize yourself with the terminology and technical details of ML models. Not useful for learning how to manage the project, but super useful to understand the details of requirements to create a model.

Oversll, very good course. I learned a lot. Instructor is clear and knowledgeable. Te course materials are a bit biased to the ML side and the deep learning is a bit basic. The time assigned to the project is too short .

The content of the course was very comprehensive and organized well. However, it would benefit from more anecdotes and real-world examples to keep the content engaging throughout the course.

The training provides a good overview of ML concepts. At the same time pre-project data quality review and initial data analysis could have a more extensive coverage from my point of view

I thought the course had a good pace and was informative. I should have took advantage of the discussion forums more to ask some questions. Doing the project brought even more questions.

Not engaging. I'm sure the instructor is a technical genius however, I would suggest to refine teaching skills. All the courses are suitable for developers not Product Owners

good intro for machine learning, you will need to search and google lots of concepts to fully understand them so its gonna take more time to finish

It was a great learning. This course is perfectly curated for beginner who needs to understand the pros and cons of it.