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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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31,366 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：

2976 - Supervised Machine Learning: Regression and Classification 的 3000 个评论（共 5,940 个）

创建者 Kristiyan D

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Mar 25, 2025

It is good for the basic understanding of the algorithms

创建者 Marina D

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Mar 20, 2025

Very informative class, but hard to memorize right away.

创建者 Chandana H K

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Jan 31, 2025

One of the best courses I have come across. Very helpful

创建者 Nitesh K

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Jan 2, 2025

Incredible Course the way tutor teaches exceptional well

创建者 Leila ( L

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Dec 20, 2024

I love Andrew he is so fun and he explain things so well

创建者 Ernesto J O M

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Dec 17, 2024

Nice explanation and good exercises. Excellent Material.

创建者 Olle T

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Jul 8, 2024

Very much what I wanted. Perfect level. Andrew is great.

创建者 Sezai U O

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Jul 3, 2024

Really good for understanding the logic and math behind.

创建者 Preethesh P

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May 24, 2024

Great teaching,Thank you Andrew NG sir and coursera team

创建者 Abdelrahman O

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Apr 2, 2024

A very good course to understand the fundamentals of ML.

创建者 fareed u

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Mar 12, 2024

amazing course and very easily and efficiently explained

创建者 Sanjay F

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Feb 1, 2024

Excellent Course. Please keep launching topical courses,

创建者 ViaLabsDigital - A d I

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Jan 10, 2024

This course is fundamental for studying machine learning

创建者 Younas K

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Dec 31, 2023

Great course first up, beginner friendly but insightful.

创建者 sandeep s

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Dec 4, 2023

IT WAS ONE OF THE BEST COURSE OUT HERE THAT ONE CAN GET.

创建者 Diego E M S

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Jun 22, 2023

Great course but I would to like more deep in the topics

创建者 Hussamuddin S

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Jun 9, 2023

Amazing! helped my Machine learning concepts to improve!

创建者 Sungbo S

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May 21, 2023

Best Ever, More than University.... THANK YOU SO MUCH!!!

创建者 Gaurav B

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Apr 30, 2023

Very intuitive and in-depth. Learned a lot of new things

创建者 Nitin G

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Feb 26, 2023

Good course for beginners with all foundational details.

创建者 Mohaned D

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Dec 30, 2022

Optional Labs were great, Everything was smooth sailing.

创建者 David L

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Dec 20, 2022

Need to know some python beforehand, but amazing course.

创建者 Bhaskar P

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Oct 6, 2022

Andrew's lessons are exceptional. I thoroughly enjoyed.

创建者 Mohammed A

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Sep 30, 2022

Coding exercises could be more involved and independent

创建者 Reuben P

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Aug 8, 2022

A very thorough and accessible introduction to concepts.