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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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1 - 25 of 108 Reviews for Machine Learning Foundations for Product Managers

By Amr

•

Jan 28, 2022

the instructor is reading from a slide,it is not a well prepared course

By Stephen W

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May 4, 2023

This course is WAY too technical. If you are a data scientist, this would be more understandable, but as a Product Manager, it went way over my head.

At the end of the course, the project is far beyond my understanding, and I had to give up. :-(

By Ramanan K

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Feb 21, 2022

A lot of good content, but not a great presentation/organization making it hard to be engaging. Especially for working professionals, the presenter's energy level does not motivate them to keep going. You are better off doing a proper AI/ML course instead.

By Le G A

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Sep 30, 2022

Great course and even more applications exemples would be even better :)

By Michael H

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Oct 31, 2022

This is a really good course that provides a solid overview of machine learning and some of the primary methods for doing so. As a product manager, I would say there should be a little less math in the lectures because it distracts from the essence of what you are trying to teach. Overall, a very good course.

By Craig Z

•

Mar 17, 2023

Excellent introduction to product management for machine learning. It covers the basics so you can understand the language and terminology of machine learning. Final project wasn't very relatable to the content but was useful in helping design a basic regression model which is just a heuristic model and truly a machine learning model. All in all it was well worth the time and effort and you do learn a lot if you are new to machine learning applications and projects.

By Wolf Z

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May 9, 2022

It is a good introduction into machine learning concepts that finds the right balance between required depth and and time efficient knowledge transfer.

As the title indicates, it is a good introduction on management level and is not suited to train data scientists.

A negative point: The instructor speaks incredibly slow and is rather unenthusiastic. However putting the speed on 1.5-2 times fixes this.

By Aarks M

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Feb 8, 2023

Excellent course material ,well-structured course work and detailed instructions. Explaining detailed algorithms was really helpful in understanding the core concepts.

Additional information on industry best practices and case studies with industry experts would be more helpful as the course evolves in the coming days.Nice work and thank you!

By Antonio M

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Feb 12, 2024

Awesome content, with a good degree of difficulty, it's been foundational for my deep dive into AI products and have face to face conversations with Data and ML teams

By MANIKANDAN P

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Dec 18, 2023

Fantastic course as a starting point on Machine Learning Foundations, fully recommend for beginners, especially if you are not familiar on statistics or coding...

By Gokhan C

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Apr 20, 2023

Great introduction to the concepts and I am glad it has the model building/training exercise at the end since it made the overall course much more meaningful.

By Jun W T

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Dec 18, 2021

A very clear introduction to the 'types' of Artificial Intelligence and other necessary concepts required in dealing with AI.

By Michael S

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Dec 15, 2022

ein sehr guter Einstieg in die Welt der AI

By George K

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Feb 11, 2024

I found the course for the most part to be interesting and beneficial in establishing a foundational knowledge of ML... however this does not come without some issues. The primary issue I had with this course is the peer reviewed assignment. In my view it should not be an assignment for this course which is clearly title and targeted for Product Managers. The assignment would be more applicable in a different course that branched off into developing the technical acumen of ML and not in what seems to be a foundational course for PM. This course is not written by PMs for PMs but rather by ML Engineers for ML/Computer Science Engineers looking to become PMs. Additionally a peer reviewed assignment in this context presents no real value as most people cannot provide SME valued feedback.

By Ruken Z

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Jan 20, 2024

It is good course but in order to complete the final assignment the trainee needs to spend some time as a self learner.

By Gerard F

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Dec 1, 2022

I like how the course was structured, I just wished there were exercises in each week

By Justin F

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Jan 27, 2024

This was a really useful course to get my head across the foundations of ML, and how it all works 'under the hood'. The final assignment really helps to connect the theory to the practical application of ML, however it throws you into the deep end on how to use the recommended tools. It's left up to you to figure out how to create and interpret the models with your chosen tools and as someone with a basic understanding of statistical modelling, I spent hours trying to understand how to do this. I think some additional modules that teach the student how to translate the theory to a practical tool would be really helpful.

By Maureen K

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Sep 2, 2023

Not a bad course but I'm not sure how this it relates to Product Management, aside from some industry examples in the content. For my knowledge level, this was way too dense. Loads of formulas and modeling that I'll never use. The course lost me when it started writing out mathematic equations. I'm finishing the course because of sunk cost bias but would not take it again seeing how the content does not match up with any area of my job.

By Peter V

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Nov 10, 2023

The course itself was quite good, a thorough introduction to machine learning. So why the two stars? For the final project, the course offers three possible methods: programming in Python, via VBA in Excel, or using Google Cloud AI. The first two were not an option for me, as I do not code. What I wish I knew was that, in order to make Google Cloud feasible, I would have to spend hundreds of dollars on hosting the (relatively modest) dataset. The course description was not at all clear about this.

By Tom M

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Feb 15, 2024

Too technical. The quizzes don't align well to the lectures, and the lectures are simply way too technical for most to grasp. The capstone item is absurd for a certificate. I don't recommend this course.

By Anne-Laure J

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Jan 3, 2023

This course is well structured, covering a lot of what is required high level to discover ML.

Though the level of math required is too high. I don't think this course is for beginners.

By Oleksandr L

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Jul 19, 2023

Awesome course! It's not too technical if you have basic math skills. The instructor speaks quite slowly, but increasing the playback speed helps. My only minor criticism is that the 6th week, when the neural networks were explained was much more difficult than all previous weeks. I wish, there were more videos explaining the training of neural networks at a slower pace and with more details.

By Walter D

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Jan 3, 2024

Excellent! Instructor does a great job of simplifying concepts to make them understandable. I felt that I learned the important core concepts that are relevant to working with machine learning. The course project was challenging but not frustrating, and it greatly helped to drive home what I had learned in the course.

By Justine R

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Mar 17, 2022

I love the way the course is structured. Jon Reifschneider allows you to view and download the slides before diving into the videos. He explains the content thoroughly and supports his explainations with charts and diagrams which I personally find very helpful. I'm so glad I took the time to complete this course.

By Srinivas R K

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Jan 31, 2023

Excellent course! Very well explained and summarized the key concepts. Enjoyed learning every bit. The subject matter was thorough and the project at the end put it all together. I may come back to this to keep my skills fresh. For now on to the next course in this specialization.