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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
31,244 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:

976 - Supervised Machine Learning: Regression and Classification 的 1000 个评论(共 5,915 个)

创建者 SERGIO A C

Jul 7, 2023

I really like to do the details. When coding you need to go to the last detail of implementation. A program that almost run and almost ready ...doesnt work. It does work when is running

创建者 Ivo M

May 21, 2023

One on the best instructional series I've ever seen - not only in the field of ML, but generally. The lectures and labs are perfectly balanced and allow for gradual and stable progress.

创建者 mutuku n

May 9, 2023

Lambent is an understatement. I thought it was difficult but it is not. Anyone can go through it. I am looking forward to completing 2 and 3 and later shift to tensorflow specialization

创建者 Tordiah A

Feb 20, 2023

I MUST CONFESS THAT I HAVE NOT ONLY UNDERSTOOD THE COURSE BUT I REALLY ENJOYED IT TOO.

THIS IS A COURSE WORTH ITS PRICE. THANKS TO EVERYONE WHO CONTRIBUTED TO ITS ESTABLISMENT.

THANK YOU.

创建者 Mohammed F

Oct 15, 2022

The One Thing I Really Love about This Course is The Instructor 'Andrew ng' is Awesome. He is Such a Good Person and I like His Smile. His Teaching Methods are Really Good. I love Him.

创建者 Nima J

Oct 11, 2022

It was a very interesting course! I learned a lot and was able to familiarize myself for my upcoming master thesis in the field of machine learning! I will visit the course part 2! :)

创建者 Porumamilla K

Aug 6, 2025

The course provided a clear and structured introduction to supervised machine learning. The explanations were easy to follow, and the hands-on assignments helped reinforce the concepts

创建者 Matias M M

May 20, 2025

I found the course to be very educational and effective in conveying key concepts for getting started with machine learning. I would recommend it to anyone looking to enter this field.

创建者 Tanish M

Mar 22, 2025

Can be a bit more towards coding cause I knew all those math but still there was too much focus on math but none on coding I did not know numpy or matlabplot which was very hard for me

创建者 Artem K

Dec 16, 2023

This course is extremely recommended for students who are interested in Machine Learning algorithms. Everything is explained clearly, without any sophisticated definitions or formulas.

创建者 Muhammad E R

Jul 18, 2022

Amazing course. I learned a lot. Much much better and easy way to understand ML than the original 'Machine Learning' course. Thank you all the team members for reorganizing the course.

创建者 Ronald J

Jul 10, 2022

This was a great class! I was excited to see that it was more digestable then the calcualus c229 class on youtube. Also, a must view for the math nerds lol onward to the next course!!

创建者 Joy C

Oct 23, 2025

Andrew ng sir's teaching was amazing... but in labs if he could give efforts more then it would be the best for the type of students like me ... thank u and its a awesome course i did

创建者 apoorva s

Sep 25, 2025

I loved this course, it goes from very simple to quite complex and I still did not find it difficult to understand. Thankyou to the makers and Professor Andre Ng. It was very helpful.

创建者 Bumi K

Jun 28, 2024

This course has been very helpful in my learning, the explanations are easy to understand and the practice is very easy to do, making it one of the best courses for beginners. Thanks.

创建者 UPPALAPU S R

Mar 13, 2024

Wonderful content and presentation. Awesome lab support. But while submitting an exam it graded zero for first time and shown actual grade after resubmission without any extra change.

创建者 Bahadir U

Jul 4, 2023

This course is very helpful for understanding the fundamentals of artificial intelligence. I am surprised how deeply Andrew NG explains most complex topics using very simple examples.

创建者 Muhammad i z

Jan 26, 2023

Great course for introduction to Machine Learning!. This course dig deeper into "what happened" when you using or running machine learning model. Thank you Coursera & DeepLearning.ai.

创建者 A R

Jan 21, 2023

Nice to finally discover some practical applications of all the calculus I learned years ago. Enjoyed the course, especially the explanations and demonstrations of the maths involved.

创建者 Khaled A

Sep 14, 2022

What an amazing course ,I really gained alot of knoweldge throughout the course but I hoped to apply my knoweldge in real data set or real application for Linear/Logistic Regression

创建者 Musidivalasa G

Jul 13, 2022

Fantastic platform to start the machine learning journey, where the very basic and needed terms,definitions, algorithms are neatly explained. Had lot of fun through the entire course.

创建者 Chirag V

Sep 16, 2024

The fundamentals of Linear and Logistic Regression were explained clearly. The material would help me apply the learning in job at great extent. Thank you for such an amazing course.

创建者 Muhammad A S (

Aug 31, 2023

This was a fantastic course. Andrew's teaching method was terrific and the way optional/practice labs were designed really helped solidify the concepts learned during video lectures.

创建者 jerlshin O

Jul 2, 2023

hello sir, I'm grateful to have access to the world wide knowledge provided by people like you. I learnt many things usefull and i will be keep on learning. Thanks a lot sir and team

创建者 Romani N S

Jun 26, 2023

good content and instructor was perfect.

good slides and practical labs helped me for learn more python syntax in different libraries.

I highly recommend this course as you beginner