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

4.7
3,785 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.

HR

Jun 26, 2021

Thanks to Coursera I now know the basic machine learning models as well as how I can implement them to solve real world problems. Excellent instructors and learning resources!

筛选依据:

601 - Introduction to Machine Learning 的 625 个评论(共 899 个)

创建者 Muhammad I

Aug 21, 2020

Excellent

创建者 Flordeliza P

Jul 31, 2020

Thank you

创建者 MADHUMITHA M

Jul 12, 2020

Very good

创建者 Moumita C

May 4, 2020

excellent

创建者 Oscar J

Jun 24, 2019

Excelente

创建者 Dinith P

Feb 13, 2023

Good one

创建者 DHANANJAY S

May 22, 2021

Thankyou

创建者 Nishita W C

Apr 29, 2021

too good

创建者 Ahmednur A Y F

Jan 16, 2021

wow good

创建者 SUMUKHA K N

Jun 19, 2025

Amazing

创建者 Collins L

Dec 5, 2024

Awesome

创建者 Divya D

Jun 30, 2021

Amazing

创建者 AAKASH K

May 13, 2021

Awesome

创建者 Rani G K

May 9, 2021

nothing

创建者 akash a

Apr 27, 2021

G

o

o

d

o

n

e

创建者 Milind u

Apr 26, 2021

awesome

创建者 Aarush B

Apr 23, 2021

Amazing

创建者 Cicero C

Dec 23, 2020

Awsome.

创建者 MS S

May 29, 2020

helpful

创建者 Rafeed R

Apr 10, 2020

Awesome

创建者 Carlos A M d S T

Jul 16, 2021

Great!

创建者 Almaz

May 25, 2021

Great!

创建者 Juan J P

May 17, 2021

Awsome

创建者 YAMINI K

Jun 1, 2020

useful

创建者 Sandeep D D

Aug 24, 2019

Thanks