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学生对 Duke University 提供的 Introduction to Machine Learning 的评价和反馈

4.7
3,809 个评分

课程概述

This course provides a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc.) and demonstrates how they can solve complex problems in various industries, from medical diagnostics to image recognition to text prediction. Through hands-on practice exercises, you'll implement these data science models on datasets, gaining proficiency in machine learning algorithms with PyTorch, used by leading tech companies like Google and NVIDIA....

热门审阅

JN

Nov 3, 2025

The teacher are incredible good. The course helps a lot to develop intuition and understanding of complex topics. I really enjoyed this course, thanks and congratulations.

GS

May 5, 2021

The exercises are too much toy for people who already have certain knowledge of machine learning and are not feed forward for students that has no experience solving machine learning problems.

筛选依据:

851 - Introduction to Machine Learning 的 875 个评论(共 906 个)

创建者 Neetu N

Apr 26, 2021

Awesome!!

创建者 Roshan S

May 16, 2021

Helpful

创建者 ROYAL s

Apr 27, 2021

it good

创建者 Vivek R J

Aug 20, 2024

Good

创建者 Chetan S

Oct 15, 2023

good

创建者 Mansi S

May 11, 2022

nice

创建者 Sovon P

Jul 18, 2021

good

创建者 ARKA S

Jul 8, 2021

good

创建者 DEBALEENA D

Jun 28, 2021

good

创建者 VPK A

May 7, 2021

Good

创建者 Syed A

May 2, 2021

Good

创建者 Mohamed L

Apr 21, 2021

Good

创建者 AKRITI P

Apr 20, 2021

Good

创建者 MOHIT K S

Jul 21, 2020

Nice

创建者 RENUKA.K

Jul 6, 2020

good

创建者 ANURAG B

Aug 19, 2024

.

创建者 Sara K

Jul 31, 2023

创建者 Pritam D

May 31, 2021

9

创建者 Ion V B

Aug 10, 2025

The videos are very good. The lab assignments have a problem. For some either the input data is not reachable or the way to retrieve the information via torchtext is obsolete and there is no information related to what version of torchtext to use with what version of pytorch and python as well. It took me days to figure it out, and then how to format the retrieved data so that it can be used for the assignment. I must recognize that it helped me have a better understanding of pytorch but it was very time consuming. If this was the final goal of the assignment, then please update the time to more than an hour of two

创建者 Evren O

Jul 21, 2021

I enjoyed Lawrence Carin's explanations a lot but the overall experience was not great I'm afraid. It felt like it did not come together properly. The order of lectures and assignments felt wrong. The Python level of competence was too high for this course and support (via forums) was non-existent. I don't regret finishing the course but I would not recommend it to my friends.

创建者 Grace F E P

Apr 28, 2021

The lectures were great and very easy to follow! However, I found that the assessments were too easy as they comprised solely of multiple choice questions, maybe including hands on coding assessments fo contribute to our final grade would have made me feel more confident that I've grasped what was supposed to be taught to me each week.

创建者 Vaibhav B

May 2, 2021

Modules need a bit of synchronization.

Please spend some more time explaining gradient descent.

If possible, explain using a board where we could have things simultaneously.

Also, request to have a course on machine vision using CNN etc.

创建者 Hanyou C

Sep 20, 2023

Good introduction to the concepts of machine learning. Somewhat overly repetitive, some inconsistencies. Information is not up to date, for example, the python code for Tensorflow would not work.

创建者 Yatlong C

Jul 29, 2025

The course is generally fine. But the problem is I can't review some of the course material and my assignment, after I've finished the course.

创建者 Aditya Y

Apr 30, 2021

This course is good for just theoretical understanding of the subject. But for practical implementation it is too hard to do.