This is a strong, challenging, and informative course. The final project to complete is one you will have to push yourself on as the documentation on it is a bit light, but there are plenty of resources to draw on including the AI course coach.

It has been an excellent learning experience throughout the program. Moreover, the "Machine Learning Foundations for Product Managers" section is beginner-friendly and easy to understand, even for those without a technical background.

This course has been a fantastic way to tool up on ML product management. The knowledge and skills I've acquired are highly relevant and I'm eager to integrate these new tools into my consulting practice and teaching experiences.

- very clear instructions

- good level of detail - general concepts illustrated with simple examples

- excellent in-video short quizzes that keep the learner focused

- good tests (clear questions and answers that make you think)

Very well made and balanced coursework. Definitely recommend this to anyone looking to break into the AI/ML space. Sets you up with a very good foundational knowledge of this vast, technical, and ever-evolving technology.

Great course for beginners to AI/ML covering a good breadth of ML techniques and models to help understand how this all works in the real world. Absolutely recommend to anyone wanting to get their feet wet in this space!

I found the instructor very knowledgeable and helpful as well as clear with practical real-world examples. This ensured that I was engaged understood and now really hungry for other opportunities to expand my knowledge.

i think this was still tough to grasp at first given that i am not from a technical background, i believe the course can be designed in a way that every one can easily understand and then the pace can be increased.

The course is informative crisp and covers the fundamentals quite decently.

If possible pls add a more detailed section on CRISP-DM process or modeling for better understanding.

Thanks ,Coursera and Duke University.

I really liked this class. It provided a good ML foundation at just the right level for me. There was enough math to communicate the concepts and principles without getting bogged down in too much detail.

An awesome summary of the minimal basis to understand what is ML and how it works. All keys to understand that's not black magic, also presented in an easy to understand way. I highly recommend it !

Machine Learning is pretty strong and knowing the possibilities to use it is really cool. Great teacher and great content. Now I feel more prepared to talk about AI and discuss problems solution.

Good introduction to Machine Learning, which developed further with the ML course project. Overall good learning experience and continuing on with the next course in the specialisation

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As a foundation is pretty good. It can be a bit difficult the part of the algebra and the final project, but they provided instructions on how to do it. Just follow the instructions.

Would recommend - instructor takes time explaining the fundamentals in a simple, relatable way. Didn't feel bored or the need to skip forward and it set a strong base to build on

Very strong course, pretty deep in the foundations, but thats exactly what it's for. Do recommend this course if you really want to have foundational knowledge about AI models.

Great overview of machine learning and its uses. It was easy to follow, and I've learned a lot of new things. I would recommend this to anyone, not just to Product managers.

The course was phenomenal. It provided me with important insights into machine learning functionality and performance. I truly enjoyed completing the final course project.

Excellent course, very interesting, useful, well balanced. Very skilled lecturer and the material is easy to understand and fruitful for the graded assignment provided.

Great way to get started and introduced to concepts. Project work ensure it covers all the topics taught in the course. Great way to recap and apply concepts to play.

Sometimes I wish I had seen a simpler example or the same concept explained in two different ways. I had to resort to Gemini and Chat-Gpt to exercise some concepts.

Project at end of program was very good learning opportunity. Well done overall !! Highly recommend for non DS professionals working closely with DS projects.

So exciting during learning the course, it helps me get overview about ML and see how it actually works. A surprise and appreciate about peer-grading project.

It was really good to understand a more foundational way of understanding the origins of LLMs (transformer based) models and how they function and are built.

The course structure is well-thought-out, beginning with a thorough introduction to the fundamental principles that form the backbone of machine learning.