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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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51 - 75 of 116 Reviews for Machine Learning Foundations for Product Managers

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 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 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

By Julian B

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Dec 25, 2023

Very well structured and on an appropriate level for beginners in ML and PM

By Marjorie L

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Mar 1, 2024

The professor was very knowledgeable of the material, easy to understand,

By Moses O

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Jan 1, 2024

All modules are easy to understand, my knowledge has greatly improve

By gorakh w

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Nov 14, 2022

Good Explanations of the concepts and very good presentation notes.

By Vikas K

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Sep 26, 2022

One of the best course to understand the basics with accuracy

By Nivedita K

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Jul 7, 2023

Very well explained..the projects and examples are engaging.

By Bernd H

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Jan 26, 2023

Challenging but very interesting learning. Good foundations!

By Tattwa D P

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May 7, 2023

one of the best courses for PM to grasp machine learning

By Lovin A

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Dec 9, 2023

Best course on AI product management so far :)

By Jatin G

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Mar 9, 2024

Amazing quality of content and teaching way.

By Richard S

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Jun 16, 2022

Vey interesting and enjoyable to undertake

By Oscar H C

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Feb 27, 2023

Very detailed and relevant course.

By Saran G

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Feb 9, 2024

Excellent course. Great lectures.

By Olga O

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Nov 9, 2023

I would recommend this course.