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

4.6
stars
376 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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76 - 100 of 116 Reviews for Machine Learning Foundations for Product Managers

By Mike B

•

Feb 25, 2024

Well organized. Great course!

By FELLA P

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Apr 29, 2023

Great and thorough course

By Hemant A

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Apr 21, 2024

Good foundational course

By B S P

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Mar 7, 2022

Very practical to apply

By Pranayvardhan S G

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Jun 10, 2023

Fantastic Experience

By Ali A

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Mar 26, 2022

Very useful, indeed.

By bane h

•

Jul 21, 2023

Awesome instructor!

By white

•

Jul 27, 2022

Easy to understand!

By RAJESH M

•

Apr 22, 2024

Excellent course

By Milind G

•

Mar 13, 2024

Amazing course

By Kyle L

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Apr 4, 2023

Great course!

By Rafael M

•

Aug 24, 2023

Excelent!

By Gaytri B

•

Jan 24, 2022

Good KT

By Ivonne N U L

•

Mar 18, 2024

nice

By Jennifer E

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Apr 15, 2024

This foundational class is actually a pretty deep dive into the science/math of ML/AI. I wish there would've been guidance along the way of *how* to implement what was being learned (i.e., exercises to follow along with the instructor in setting up a model). Instead we just had to figure out to how to make things for the final project that we'd never seen done. Other than that, it was a good way to learn fundamentals.

By Anand D

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Mar 4, 2024

This course helped me gain a solid understanding of machine learning concepts, especially around modeling. The lectures are presented lucidly and are very nicely organized and paced. The project assignment really forced me to apply what I had learnt in a real life scenario. Above all, it has triggered my interest to explore more apply what I have learnt in the role I am expected to play at work.

By Michael G

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Aug 26, 2022

Liked the course, since it is a profound introduction to the broad field of machine learning. When it comes to NNs and CNNs, I think the course focuses too much on mathemathical aspects and lacks a bit the an easy and intuitive explanation.

By Ritika S

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Oct 17, 2022

Super useful course to familiarize yourself with the terminology and technical details of ML models. Not useful for learning how to manage the project, but super useful to understand the details of requirements to create a model.

By Andrei K

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Mar 16, 2022

The training provides a good overview of ML concepts. At the same time pre-project data quality review and initial data analysis could have a more extensive coverage from my point of view

By Joele E

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Dec 16, 2023

I thought the course had a good pace and was informative. I should have took advantage of the discussion forums more to ask some questions. Doing the project brought even more questions.

By CHAVARRIA C K

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Nov 5, 2023

Not engaging. I'm sure the instructor is a technical genius however, I would suggest to refine teaching skills. All the courses are suitable for developers not Product Owners

By Amgad B

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Oct 7, 2023

good intro for machine learning, you will need to search and google lots of concepts to fully understand them so its gonna take more time to finish

By Candida G

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Aug 21, 2023

It was a great learning. This course is perfectly curated for beginner who needs to understand the pros and cons of it.

By Sharmila S

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Dec 4, 2022

I thoroughly enjoyed this introductory course to ML. It was a intensive introduction to various models and techniques.

By Phillip C

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Jan 9, 2024

I think the information should be better organised. Meaning, it should follow a more linear progression.