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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：

3451 - Supervised Machine Learning: Regression and Classification 的 3475 个评论（共 5,937 个）

创建者 FU D

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Oct 20, 2022

Excellent courses! just can't stop learning.

创建者 Martin M

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Sep 9, 2022

Very good introduction to machine learning!

创建者 Ajay S

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Sep 5, 2022

Good Course Content.. Excellently Designed.

创建者 Kamal K

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Sep 5, 2022

I was expecting more rigorous practice labs.

创建者 pritam s

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Sep 5, 2022

great course for basics of machine learning

创建者 Heet P

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Aug 18, 2022

this is awesome!!!! more power to andrew sir

创建者 Robert K

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Aug 8, 2022

Excellent detailled explanations. Well done.

创建者 Ajit N

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Aug 6, 2022

ample amount of knowledge got for the course

创建者 Kang Y J

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Dec 6, 2025

A well-put together curriculum by Andrew Ng

创建者 Daniel J

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Aug 31, 2025

This is one of the best courses I have seen

创建者 Hernan M

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Jul 28, 2025

Excellent resource. I enjoyed it very much.

创建者 KOLA.VENKATA.SAI.PUTRAYYA K

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Apr 4, 2025

as a beginner i really enjoyed this course.

创建者 SAYAM P

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Mar 3, 2025

Wow such clear explanations really loved it

创建者 Zmumu

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Feb 1, 2025

One of the best courses I've ever attended.

创建者 Abu M R 2

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Dec 12, 2024

One of the best course in machine learning.

创建者 Sumitra D

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Sep 28, 2024

Happy to learn more about this opportunity.

创建者 Brian C

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Sep 26, 2024

Excellent class, very thorough and complete

创建者 MAURICIO O Q

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Sep 8, 2024

Nice course, its really powerfull knowledge

创建者 Vicki A

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Sep 4, 2024

This course is exceptionally well designed!

创建者 Keerthana S A

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Aug 25, 2024

Very detailed course and easy to understand

创建者 MD S S

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Apr 28, 2024

Best Hands-on practice so far I have tried.

创建者 Mark R N

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Apr 4, 2024

Excellent introduction to machine learning.

创建者 Ali A N

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Mar 30, 2024

you could add more data science stuff to it

创建者 PANDEY R R A

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Nov 10, 2023

Best thing out there, Andrew ng is the goat

创建者 Ashutosh G

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Oct 19, 2023

it was the best course that I have attented