Name: Machine Learning Foundations for Product Managers
Brand: Duke University
Availability: OnlineOnly
Rating: 4.7 (177 reviews)

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

4.7

stars

590 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

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.

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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176 - 186 of 186 Reviews for Machine Learning Foundations for Product Managers

By Hunter P

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Oct 31, 2023

Lots of what, not enough why. Some lessons are just explanations of algorithms without examples of why or how they would be useful. I can look up these concepts anywhere, wikipedia, google. I'm taking this course to learn why something is important, not to go through motions like a machine.

By Olaf K

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Dec 9, 2022

A completely new experience, this course, a lot is explained in the video, but then solving a complex task without practice, where you have to repeat everything, shocked me at first. Hope you understand this english better, like me.

By Aditya A

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Dec 30, 2024

Was trying to do too many things in a single course. Could have done with introduction of less concepts - I am not sure how many people will remember K-means clustering 1 month after doing this course.

By Shubhashis P

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Oct 24, 2023

I am indifferent to just reading the slides vs going through the slides. The quiz and slides are great not the content delivery.

By Jon N

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Sep 22, 2023

The instructor was a bit boring. Talked a lot about equations but never showed examples of how to use them.

By Amit D

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Dec 25, 2023

Please add some videos about tools such as excel and how to use this models in that

By tara c

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Aug 24, 2025

The title is deceptive. It's 90% data analytics which I do understand is the foundation of ML but the rest 10% is not worth the value and not very well explained. I'd rather do fast ai free lessons 4,5 than pay for this.