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Вернуться к Machine Learning Foundations for Product Managers

Отзывы учащихся о курсе Machine Learning Foundations for Product Managers от партнера Университет Дьюка

4.7
звезд
Оценки: 68

О курсе

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...

Лучшие рецензии

WM

9 янв. 2022 г.

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

-based on this professional experience.

SV

29 нояб. 2021 г.

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

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1–18 из 18 отзывов о курсе Machine Learning Foundations for Product Managers

автор: Jun W T

18 дек. 2021 г.

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

автор: Wolf Z

9 мая 2022 г.

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.

автор: Justine R

17 мар. 2022 г.

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.

автор: Jose A B

9 июня 2022 г.

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.

автор: Wilberto M

10 янв. 2022 г.

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

-based on this professional experience.

автор: Sofía P V

30 нояб. 2021 г.

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

автор: John P

25 апр. 2022 г.

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

автор: Nancy

18 янв. 2022 г.

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

автор: Pankaj

3 мар. 2022 г.

Great content, Knowledgeable Instructor, well explained.

Course has been helpful , Thanks!

автор: Xheni L

21 июля 2022 г.

This course was quite intense but helped me understand the fundamentals of the ML.

автор: Richard S

16 июня 2022 г.

Vey interesting and enjoyable to undertake

автор: B S P

7 мар. 2022 г.

Very practical to apply

автор: Ali A

26 мар. 2022 г.

Very useful, indeed.

автор: white

27 июля 2022 г.

Easy to understand!

автор: Gaytri B

24 янв. 2022 г.

Good KT

автор: Andrei K

16 мар. 2022 г.

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

автор: Ramanan K

21 февр. 2022 г.

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.

автор: Amr

28 янв. 2022 г.

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