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

4.6
stars
472 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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51 - 75 of 141 Reviews for Machine Learning Foundations for Product Managers

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 Jean

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Jun 24, 2024

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

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 Bridget N

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Oct 18, 2024

I love how the instructor really gave out practical examples during his teaching, and the quizzes too are well structured

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.

By Subhasish G

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May 12, 2024

Excellent content, well presented with good opportunity to practice the learning the Graded project.

By Nancy

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Jan 18, 2022

Very good courses that clearly and precisely covered the foundation concepts for machine leaning!

By Dhananjay A

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Aug 6, 2023

Great course that gives a great introduction to Machine Learning, a foundational course for AI.

By Pankaj

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Mar 3, 2022

Great content, Knowledgeable Instructor, well explained.

Course has been helpful , Thanks!

By Vamsee C

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Oct 20, 2024

Great depth in fundamentals. Jon Reifschneider, instructed the key points very clearly.

By Samat I

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Oct 4, 2023

It was attractive. I have got a lot information about ML. I strongly recommend everyone

By Xheni L

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Jul 21, 2022

This course was quite intense but helped me understand the fundamentals of the ML.

By Bruce W

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Jul 10, 2023

Great introductory course, can be a little heavy on the math, but not a blocker.

By Hassaan P

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Aug 7, 2023

This course is the best starting point if you want to enter the field of M/L