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Machine Learning Foundations for Product Managers(으)로 돌아가기

듀크대학교의 Machine Learning Foundations for Product Managers 학습자 리뷰 및 피드백

4.6
별점
57개의 평가
15개의 리뷰

강좌 소개

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...

최상위 리뷰

WM

2022년 1월 9일

A very good introduction to ML Jon Reifschneider explains very well the topics with real-world experience\n\n-based on this professional experience.

SV

2021년 11월 29일

Really a good introduction to Machine Learning, it helps you to boost your interest on the field and create a product from zero!

필터링 기준:

Machine Learning Foundations for Product Managers의 16개 리뷰 중 1~16

교육 기관: Jun W T

2021년 12월 18일

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

교육 기관: Wolf Z

2022년 5월 9일

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.

교육 기관: Justine R

2022년 3월 17일

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.

교육 기관: Jose A B

2022년 6월 9일

I rarely leave comments but this is legit o​ne of the best courses I've taken on Coursera. It's clear enough to be accessible to beginners yet offers sufficient information to allow more-intermediate learners take assignments further. Really good, for real.

교육 기관: Wilberto M

2022년 1월 10일

A very good introduction to ML Jon Reifschneider explains very well the topics with real-world experience

-based on this professional experience.

교육 기관: Sofía P V

2021년 11월 30일

Really a good introduction to Machine Learning, it helps you to boost your interest on the field and create a product from zero!

교육 기관: John P

2022년 4월 25일

G​reat course. Clear, informative, and cited numerous real-world examples to help learners grasp seemingly abstract concepts.

교육 기관: Nancy

2022년 1월 18일

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

교육 기관: Pankaj

2022년 3월 3일

Great content, Knowledgeable Instructor, well explained.

Course has been helpful , Thanks!

교육 기관: Richard S

2022년 6월 16일

Vey interesting and enjoyable to undertake

교육 기관: B S P

2022년 3월 7일

Very practical to apply

교육 기관: Ali A

2022년 3월 26일

Very useful, indeed.

교육 기관: Gaytri B

2022년 1월 24일

Good KT

교육 기관: Andrei K

2022년 3월 16일

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

교육 기관: Ramanan K

2022년 2월 21일

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.

교육 기관: Amr

2022년 1월 28일

t​he instructor is reading from a slide,it is not a well prepared course