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

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32,078 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：

2226 - Supervised Machine Learning: Regression and Classification 的 2250 个评论（共 6,053 个）

创建者 付宇

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Sep 12, 2023

This course is very good, and gives me some intuitions on regression and classification!

创建者 Daniel C

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Sep 1, 2023

This course is for people who is starting in Machine Learning world, I love this course.

创建者 Rhys A

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Jun 18, 2023

Great to be able to put the theory into practice to gain a better intuition of concepts.

创建者 Victor N

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Feb 11, 2023

This course provided me with all the necessary insight to start applying ML in business.

创建者 DEBJEET D

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Feb 11, 2023

Thanks, Andrew Ng and Coursera for providing such a course with the world's best tutors.

创建者 Alvaro

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Nov 2, 2022

The content is amusing and the labs are really useful to help you to get the concepts :)

创建者 Hicham M

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Oct 8, 2022

nice course i've learned everything about supervised learning to start maching learning

创建者 Rishabh G

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Sep 21, 2022

I think the course has been very well developed. The concepts were also easy to follow.

创建者 Anjuman

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Sep 3, 2022

It was really helpfull especially the codes(optional labs) help you alot as a beginnner.

创建者 Zeljko J

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Aug 28, 2022

Excellent so far , much cleaner explanations compared to old course by the same author.

创建者 Jatin A

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Aug 24, 2022

This is the best course to start your Machine Learning Journey with the best Andrew Sir.

创建者 mayank t

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Dec 15, 2025

confident after completing this course. it helped me alot in my machine learning career

创建者 sooryansh a

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May 7, 2025

It is an amazing course. I could learn a lot from this course. Really great experience.

创建者 hsiaoxx

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Mar 18, 2025

This course is easy to follow and a great starting point for learning machine learning.

创建者 Sathwik P

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Dec 9, 2024

Never ever seen this much of clarity explanation and visualization in machine learning.

创建者 Marcello B

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Nov 3, 2024

One of the best courses I've taken: practical, hands-on materials and high-level theory

创建者 Oussama H

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Oct 10, 2024

Very well put together, organized material with great visuals and extremly informative.

创建者 Shahnawaz M

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Feb 24, 2024

This course is good for beginner as well as advanced learner for refreshing the skills.

创建者 Solipsist

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Feb 7, 2024

Un curso excelente y muy didáctico, mis felicitaciones por el desarrollo de este curso!

创建者 Exaltate

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Oct 27, 2023

Very informative and lays a great foundation for understanding the underlying concepts.

创建者 Deleted A

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Oct 15, 2023

Just learned ML from a masterpiece teacher. Sir Andrew won my Heart A big thanks to him

创建者 Ayush K

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Aug 26, 2023

Nicely curated course which is designed for any beginner who want to learn ML properly.

创建者 Udit B

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Jul 31, 2023

Perfect course for someone who has just begun the journey for ML, great way of teaching

创建者 Adit A

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Jun 23, 2023

Covered all the basics and intricacies. Super Fun lectures and conversation at the end!