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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
31,343 个评分

课程概述

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression The Machine Learning Specialization is a foundational online program created in collaboration between DeepLearning.AI and Stanford Online. In this beginner-friendly program, you will learn the fundamentals of machine learning and how to use these techniques to build real-world AI applications. This Specialization is taught by Andrew Ng, an AI visionary who has led critical research at Stanford University and groundbreaking work at Google Brain, Baidu, and Landing.AI to advance the AI field. This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, rated 4.9 out of 5 and taken by over 4.8 million learners since it launched in 2012. It provides a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.) By the end of this Specialization, you will have mastered key concepts and gained the practical know-how to quickly and powerfully apply machine learning to challenging real-world problems. If you’re looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

热门审阅

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

筛选依据:

2426 - Supervised Machine Learning: Regression and Classification 的 2450 个评论(共 5,939 个)

创建者 Jonathan M C

Mar 12, 2024

Exceptional, you can see that a lot of effort involved in making this course.

创建者 Monzer H

Feb 19, 2024

Amazing course with rich information, a great start on machine learning path.

创建者 HARDIK A 2

Feb 10, 2024

great course learning a lot of things and excited for learning more in future

创建者 Anirudh L R

Aug 5, 2023

Great course content-wise. Well structured and industry appropriate syllabus.

创建者 Pratyush K

Mar 18, 2023

The course really awesome. The explanations are clear and easy to understand.

创建者 Mark T

Feb 7, 2023

Great course content with thorough and engaging explanations of the concepts.

创建者 Ryu b

Oct 11, 2022

A bit more math would be helpful, but overall this course has been excellent

创建者 anup

Aug 11, 2022

Awesome learning experience, including refreshers through the practice labs!

创建者 Dhanemkula S N N K V K

Jul 13, 2022

Good mathematical explanation how maths behind the algorithem is just awesome

创建者 Deleted A

Jun 30, 2022

Everything is explained very clearly. Thanks to Professor Andrew and Coursera

创建者 Pratik L

Oct 14, 2025

It was great course and got a good understanding and hands on practical lab.

创建者 Rashad A

Sep 15, 2025

Detailed and worth the time. This 1st course lays is solid foundation in ML.

创建者 Prince J

Jul 27, 2025

it's very good course and specially the way sir Andrew Ng teaches fantastic.

创建者 Roberto C F

Jul 6, 2025

“Great course — I really enjoyed the structure and the practical exercises.”

创建者 Aaditya K

May 2, 2025

one of the best courses available for machine learning in the whole internet

创建者 OSCAR G P O

Apr 9, 2025

The methodology and content was excellent. thank you for your your vocation.

创建者 Aditya R

Apr 4, 2025

A very good course which help me in learning the supervised Machine learning

创建者 keiko f

Feb 6, 2025

I highly recommend it. Professor Andrew is very clear with his explanations.

创建者 Soham P

Jan 6, 2025

really loved the course and the style of teaching and explaining every topic

创建者 Dissanayaka M N S

Oct 17, 2024

This is the greatest course I have ever had, I really thankful to Mr. Andrew

创建者 St. M A

Sep 26, 2024

Amazing industry-standard lectures. I'm glad the assignments are guided too.

创建者 Shreyansh G

Aug 19, 2024

Thank you Andrew sir and rest team member for this excellent course. Love it

创建者 Loveneet N

Feb 19, 2024

very well articulated and course design and assignments, labs are insightful

创建者 Swadesh V

Nov 4, 2023

The best machine learning course for beginners and Andrew Ng.... just wow!!!

创建者 Shivraj B

Sep 11, 2023

thanks thakns a lot coursera for giving this course to me i am glad for this