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 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.

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.

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176 - 180 of 180 Reviews for Machine Learning Foundations for Product Managers

By Mohit G

•

Jul 5, 2025

I am progressing through the course. It has a very promising content. At the same time, it is very challenging to follow , especially with mathematical equations and graph representations. I think the explanations could be more solid with good examples so that it is easy to follow with more effective communication. Plus the way the trainer speaks is enough doze for me to doze off. It is so difficult to cope up with the pace. They are just scrolling through the presentation and speaking a prepared script which is so difficult to understand. I found it lacking and that made me feel we are rushing through the concepts without understanding each thing in detail and cannot establish much connect with the trainer.