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学生对 Duke University 提供的 Machine Learning Foundations for Product Managers 的评价和反馈

4.7
675 个评分

课程概述

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...

热门审阅

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.

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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201 - Machine Learning Foundations for Product Managers 的 213 个评论(共 213 个)

创建者 Olaf K

Dec 9, 2022

A completely new experience, this course, a lot is explained in the video, but then solving a complex task without practice, where you have to repeat everything, shocked me at first. Hope you understand this english better, like me.

创建者 Aditya A

Dec 30, 2024

Was trying to do too many things in a single course. Could have done with introduction of less concepts - I am not sure how many people will remember K-means clustering 1 month after doing this course.

创建者 Shubhashis P

Oct 24, 2023

I am indifferent to just reading the slides vs going through the slides. The quiz and slides are great not the content delivery.

创建者 Jon N

Sep 22, 2023

The instructor was a bit boring. Talked a lot about equations but never showed examples of how to use them.

创建者 Amit D

Dec 25, 2023

Please add some videos about tools such as excel and how to use this models in that

创建者 Fran S

Nov 16, 2025

i need a lot more doing to learn this type of thing being a non technical person

创建者 tara c

Aug 23, 2025

The title is deceptive. It's 90% data analytics which I do understand is the foundation of ML but the rest 10% is not worth the value and not very well explained. I'd rather do fast ai free lessons 4,5 than pay for this.

创建者 Julian P

Oct 29, 2025

Incredibly un-interactive content. Could use visual aides and animations to liven it up. The content is all pre-written and delivered in a way that will make your eyes glaze over. Not relatable or presented in a way that would be conducive to retaining the information.

创建者 ritu j

Nov 4, 2025

The Content was good but could have been explained better with examples The project does not get graded and you will never receive your certificate as this is a SCAM. There is no way to contact a person if you have any issues.

创建者 Katie G

Apr 3, 2025

WARNING THIS COURSE HAS MANDATORY VIDEO RECORDINGS YOU HAVE TO DO, WHICH IS VERY INVASIVE

创建者 Lara R B

Jul 12, 2024

aguardar avaliação de colegas para o certificado

创建者 Eddie W

Aug 16, 2024

This was way to deep for product managers

创建者 SABRINA

Sep 12, 2024

can't complete quiz