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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

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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1151 - Supervised Machine Learning: Regression and Classification 的 1175 个评论(共 5,915 个)

创建者 Abhigyan D

Sep 20, 2022

If you are looking to explore and learn about Machine Learning and Data Science, this course is a must one. Andrew Ng is one of the best instructors on the subject.

创建者 Gregorio J D H

Dec 1, 2025

Excelente, muy bien explicado y profundiza sobre la teoría del tema de una forma didactica, no tiene temor de usar conseptos de matemáticas sin hacerlo ver dificil.

创建者 Kavin V

Oct 16, 2024

learning from the basics and looking deep into how each algorithms and function specifications works is very interesting and the way it is explained is very awesome

创建者 BIRAJ K

Sep 27, 2024

Very efficiently designed course and labs and practice assignments. Thanks to all for providing such a valuable course for free to students like us. Truly grateful.

创建者 Augusto F

Jul 16, 2023

It´s a great course for the beginners in the field of AI and machine learning algorithms. Andrew is an excelent professor and his lecture is very clear. Five stars!

创建者 Stephen A

Jun 24, 2023

I am so happy to be a part of it. The teachings were clear and specific. Explanations are super articulate. Thank you Deeplearning.ai, Coursera and Stanford online.

创建者 Daniel B

Apr 25, 2023

it’s been a really fun experience. The teachings are very clear and great. God bless you for organizing this. I look forward to going places with what I am learning

创建者 Afolabi A

Jan 13, 2023

Thank you, Andrew. I was sceptical about learning ML but now I am hungry for more. Thank you for the well detailed explanation, I wish i could give you a 10 star :)

创建者 Nayrouz H

Aug 5, 2022

way simpler than the past ml course , prof.Andrew is explaining hard topics in a very easy way , it feels like 3rd grad math , not ml and advanced math ... LOVED it

创建者 Akash S

Aug 31, 2025

This was a great course. Andrew Sir explains each concept very clearly and in an easy-to-understand way. I’m glad I chose this as my first Machine Learning course.

创建者 Yash P

Mar 31, 2025

I really liked the course. The topics were taught in detail. The "WHY" was clear. Also, practice labs helped me understand the implementation very well. Thanks!!!

创建者 Ezekiel A

Aug 27, 2024

Thank You Andrew for giving a digestible way to understand machine learning concepts as well as proper implementation. I'm truly thankful to have found this course

创建者 Kuntal S

Jun 20, 2024

I was fairly new to these concepts and quite frankly these topics were overwhelming. Now i Understand the workings a bit my fear of AI takeover has been validated.

创建者 Amith J

May 26, 2024

Really good course to start learning ML. Can complete with minimal coding knowledge. Plenty of optional labs available if you want to fully explore every scenario.

创建者 Arash S

Sep 19, 2023

This course was very good for me because of Andrew ng . He is a very good teacher with a good experience of teaching . so , Thanks Andrew , Thanks Deep Learning AI

创建者 T’Avion

Dec 20, 2024

Great course that teaches you all the basics of regression and classification. I feel like I really understand the material and can put the content into practice.

创建者 Atanu R

Nov 2, 2024

The course is very well designed, engaging and chunked into good enough portions which you can read through. It is a very well-defined course to start learning ML

创建者 Jeff F

Jul 5, 2024

While it helped to do the Mathematics for ML & Data Science specialization in advance, this was extremely clear and concise introduction to the foundations of ML.

创建者 sherry v

May 17, 2024

Andrew did full justice to this course. I will stick to his suggestions for building ML models. It would have been great if some small projects were included too.

创建者 Ciprian T

Nov 13, 2023

the final laboratory exam was not easy, perhaps a bit of extra clarity would be helpful especially where code examples are set in place and specifics are expected

创建者 nacho t

May 21, 2023

Excelent way to get in touch with theory of how IA works (very begining).

A Little bit hard for non-engineers, but with a little extra effort, you can achieve it!!

创建者 Anhelina O

Jan 28, 2023

Andrew is amazing! He's explaining hard things to understand the most available way I've ever known. A big plus is also the coding tasks, very good for beginners.

创建者 Shivam M

Dec 18, 2022

I can clearly say it is one of the best machine learning course in whole world . It covers all core concepts from scratch and I love teaching style of Andrew Sir.

创建者 Ahmed A

Nov 6, 2022

I learned a lot about machine learning, and I understood and applied a lot of principles and theories, I benefited a lot. This course was useful and fun to learn.