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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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32,290 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：

3626 - Supervised Machine Learning: Regression and Classification 的 3650 个评论（共 6,080 个）

创建者 Asmi A

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Jul 9, 2025

Andrew Ng explained concepts profoundly!

创建者 BAIJ S

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Jul 8, 2025

Wonderful my knowledge has been enhanced

创建者 Venna S r

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Mar 31, 2025

I am andrew ng absolute the best teacher

创建者 Shivam J

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Mar 28, 2025

Excellent Cource I Learned a Lot From It

创建者 sambhav s

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Jan 2, 2025

Loved the maths part , labs are too good

创建者 ZH W (

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Oct 1, 2024

very nice combination of math and coding

创建者 T T V

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Sep 24, 2024

It is very fruitful. Highly recommended.

创建者 Devendra J

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Jul 5, 2024

the best course for starting to learn ML

创建者 Mario I E D

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Jul 4, 2024

Learning rate was as smooth as possible!

创建者 Shanuka D

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Jun 3, 2024

One of the best courses I've enrolled in

创建者 Shubham T

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Jun 1, 2024

The concept was taught very effectively.

创建者 Josep M

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May 12, 2024

It is an introductory course. A good one

创建者 random u

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Jan 8, 2024

Learned a lot in a short period of time.

创建者 Reza F

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Jan 6, 2024

You are explaining simply! that's great!

创建者 Abubakar A

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Dec 12, 2023

This is really a good experience for me.

创建者 Bibit K

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Nov 18, 2023

Lab and course materials were crazy good

创建者 Jancirubi K

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Nov 3, 2023

Excellent Instructor. Enjoyed learning..

创建者 Yuchen D

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Oct 9, 2023

well-structured, straightforward,patient

创建者 James H

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Sep 14, 2023

Really clear and friendly to beginner!!!

创建者 John F

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Jul 26, 2023

Excellent pace and coverage of material.

创建者 Omar A M M M

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Jul 26, 2023

excellent and neatly organized material!

创建者 Yu K

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Jul 24, 2023

learnt a lot, lecturers are very patient

创建者 AMIT K

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Jul 2, 2023

Very Nice Concept Understood by Andre ng

创建者 Leo

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Jun 12, 2023

Excellent course ! Thank you very much !

创建者 George J

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Mar 16, 2023

Great intro to machine learning concepts