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Learner Reviews & Feedback for Machine Learning Foundations for Product Managers by Duke University

4.6
stars
351 ratings

About the Course

In this first course of the AI Product Management Specialization offered by Duke University's Pratt School of Engineering, you will build a foundational understanding of what machine learning is, how it works and when and why it is applied. To successfully manage an AI team or product and work collaboratively with data scientists, software engineers, and customers you need to understand the basics of machine learning technology. This course provides a non-coding introduction to machine learning, with focus on the process of developing models, ML model evaluation and interpretation, and the intuition behind common ML and deep learning algorithms. The course will conclude with a hands-on project in which you will have a chance to train and optimize a machine learning model on a simple real-world problem. At the conclusion of this course, you should be able to: 1) Explain how machine learning works and the types of machine learning 2) Describe the challenges of modeling and strategies to overcome them 3) Identify the primary algorithms used for common ML tasks and their use cases 4) Explain deep learning and its strengths and challenges relative to other forms of machine learning 5) Implement best practices in evaluating and interpreting ML models...

Top reviews

LS

Apr 28, 2023

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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RR

Jan 7, 2024

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.

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26 - 50 of 108 Reviews for Machine Learning Foundations for Product Managers

By Jose A B

•

Jun 9, 2022

I rarely leave comments but this is legit one of the best courses I've taken on Coursera. It's clear enough to be accessible to beginners yet offers sufficient information to allow more-intermediate learners take assignments further. Really good, for real.

By Janel P

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Mar 18, 2024

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.

By Andrzej B

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Aug 27, 2023

- 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)

By Arun S

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Sep 3, 2022

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!

By Vikram T

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Jun 26, 2023

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.

By Gregg K G

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Jul 18, 2023

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.

By Gabriel N

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Jan 8, 2024

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.

By Leith S

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Apr 29, 2023

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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By Raquel M R

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Jan 8, 2024

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.

By Kalyan V

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Jun 24, 2023

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.

By scott s

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Oct 17, 2023

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

By Harutyun A

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Dec 3, 2023

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

By lyonel s

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Oct 19, 2023

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.

By Wilberto M

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Jan 10, 2022

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

-based on this professional experience.

By RAKESH B

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Jun 21, 2023

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

By Madhu K

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Jul 17, 2023

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

By Sofía P V

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Nov 30, 2021

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

By John P

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Apr 25, 2022

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

By Witali S

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Dec 21, 2022

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

By Artem K

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Sep 27, 2022

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

By Deleted A

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Oct 3, 2023

Very good structured course to get started, in between questions are helpful to confirm the understanding and learning

By Deepak K

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Oct 15, 2022

The course gave me the confidence to be involved in Machine Learning discussions

The level of detail was just right.

By Urvi M

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Jul 9, 2023

Excellent course with the right pace, coverage and details. Course content is of great quality and is well structured

By David R

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Feb 18, 2024

This course was a great way to create a solid foundation in AI/ML. Challenging, interesting and useful.

By Walker

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Oct 6, 2023

Loved this class. Its a little more than "foundations", but they made it easy to get into the details.