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.

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.

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

Gives a solid foundation for non-experts. Especially liked the end of course project. Although a bit more of guidance tool wise could be appreciated.

Amazing course and simplified presentation! This course helped me get over my anxiousness of what AI/ML is about and how to manage these projects!

A very good introduction to ML Jon Reifschneider explains very well the topics with real-world experience

-based on this professional experience.

Great foundational course for aspiring AI/ML Product Managers. Content depth is perfectly fine; it covers what is expected out of an AI/ML PM.

project is very helpful. Training gave complete insights about ML and I got what I was looking for. You thanks for the detail explanation.

Highly recommend this course for first timer getting their feet wet with Machine Learning. The project at the end drives home the theory.

Good info. Peer-graded project was an excellent exercise but giving grading responsibilities to untrusted individuals is not great.

This is a great course. The concepts are explained very clear and the homework/project helps to see how the concept actually work.

This is a great course to get a basic understanding of the mathematical foundation for machine learning and even neural networks.

Really a good introduction to Machine Learning, it helps you to boost your interest on the field and create a product from zero!

Great course. Clear, informative, and cited numerous real-world examples to help learners grasp seemingly abstract concepts.

Really good foundation to proceed in this topic. All needed information is part of the course. Project is very interesting.

Very good course. The only problem for me was that the presenter was reading a script, but trust me, the material is great