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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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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：

2351 - Supervised Machine Learning: Regression and Classification 的 2375 个评论（共 5,939 个）

创建者 Gautam S

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Jul 16, 2022

I really like the way the course is structured in a very simple yet thorough way.

创建者 Abul H N

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Sep 22, 2025

This course is one of the best course to learn fundamentals of machine learning.

创建者 Ashutosh M

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Dec 20, 2024

I actually quite enjoyed this course. I learned a lot about logistic regression.

创建者 Mohit R

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Oct 3, 2024

It was a wonderful experience for me. I learnt a lot from Andrew, thanks to him

创建者 30na r

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Aug 21, 2024

The scientific concepts are fluent and clear for any academic learner, so great!

创建者 Keerthan G

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Jun 24, 2024

Loved the intuitions and math behind Linear and Logisitic Regression Algorithms!

创建者 David P

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May 22, 2024

Great material and instructional videos. Found the courses interesting and fun!

创建者 Aayush K

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Apr 11, 2024

This guy is so down to earth and really explains it from the complete beginning.

创建者 Aditi J

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Apr 7, 2024

It was a really helpful course, I got to learn a lot of things from this course.

创建者 Juan E M E

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Mar 12, 2024

Me parece increíble la capacidad de transmisión de conceptos de manera tan clara

创建者 Shreshth G

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Jan 17, 2024

The course covers the basic of regression and helps to build a strong base on it

创建者 Deleted A

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Jan 2, 2024

Loved the simplified explanations of foundational concepts with examples & labs.

创建者 ARPAN G

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Nov 16, 2023

The course is the best, it has everything covered, down to the smallest details.

创建者 Антон Т

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Nov 6, 2023

Very useful course. It is well explained and seems to be a great point to start.

创建者 Cristian H

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Oct 16, 2023

Very good content to refresh concepts and application in Python on Supervised ML

创建者 Jerry P

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May 28, 2023

help you build up deep down understanding for the machine learning.

super helpful

创建者 Kaleab G

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Apr 28, 2023

I think this course provides a good and clear description of the topics at hand.

创建者 Francesca C P

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Apr 9, 2023

Direct application of the machine learning algorithms with succinct explanation.

创建者 Anil K S

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Jan 20, 2023

Instructor is very good for teaching . Thanks for providing such type of lecture

创建者 Akashdip H

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Oct 26, 2022

Amazing course developed a compreshensive idea about machine learning concepts.

创建者 nicholas m

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Aug 7, 2022

Insightful and engaging course! Didn't expect amything less from Andrew and team

创建者 李大明

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Jul 18, 2022

From theory to practice, the teacher's explanation is very thorough and logical.

创建者 Mustafa E

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Jan 30, 2025

Perfect for beginners but If you start with neural networks it is kinda similar

创建者 Aditya K

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Sep 14, 2024

It teaches you from basic key concepts to advance level, which is very helpful!

创建者 Shin L

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Jun 16, 2024

Tough going if you haven't touched algebra since high school but well-worth it!