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 :)

Great introduction to ML. I would have given it 5 starts but there were a couple slides missing compared to the video. Also, would have like to see actual examples and explain them to tie into the concepts. Examples meaning actual data and calculations for the different algorithms and techniques. Also discuss reasonable and necessary metric expectations.

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

I think the course is a little but technical for product managers, I would expect more examples from the real life to be used in industry and less mathematical calculations

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.

I thoroughly enjoyed this introductory course to ML. It was a intensive introduction to various models and techniques.

well structured, ambitious content, applicability and mathematical methods must be thought through carefully

I think the information should be better organised. Meaning, it should follow a more linear progression.

The course is great. It does, however, need an update, as so much has happened over the past few years.

Found some of the content a bit hard to follow, some more real world examples would help.

Well arranged course following a sequential learning path.

Very tough course. I don't think it's for beginner Level.

Awesome course - great learning of the foundations of ML

Great course. a few more real exercise would improve it!

Very good but also very technical. Refresh your math :-)

Well structured foundational course