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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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32,304 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

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.

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.

筛选依据：

3001 - Supervised Machine Learning: Regression and Classification 的 3025 个评论（共 6,082 个）

创建者 Hunter X

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Apr 5, 2025

You don't need to worry about that, Andrew will help you.

创建者 James.Barnes

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Aug 12, 2024

My first step towards Machine Learning. Thanks to Andrew!

创建者 Deepak S

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Jul 23, 2024

Best course design and easy learning for beginner in ML.

创建者 Paula B

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Jul 8, 2024

Excellent course where you get to learn practical skills.

创建者 أحمد أ ع

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Jun 16, 2024

Thank you Dr/ Andrew NG A lot of Thanks and Love to you!

创建者 Nubin S

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Feb 9, 2024

Gave me a very good understanding of supervised learning!

创建者 Siddharth M

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Dec 8, 2023

precise and accurate classes in a efficient time duration

创建者 Simon W

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Dec 2, 2023

Well organised and clear explanation of the base concepts

创建者 Paromita K

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Oct 8, 2023

A very impressive course in the world of Machine Learning

创建者 Adrian R

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Sep 19, 2023

Awesome course for someone getting ready to dive into ML.

创建者 Bal M

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Sep 15, 2023

The best course I have ever taken for Machine Learning!!!

创建者 SAAD Z

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Sep 3, 2023

The best starting course in the field of Machine Learning

创建者 Alfredo A

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Aug 9, 2023

Give core concept very clear without using a lot of math.

创建者 Marek J

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Aug 2, 2023

Great introductory course on supervised machine learning!

创建者 Huzaifa I

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Jul 25, 2023

Good one. Logistic regression was difficult, but worth it

创建者 oshen n

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Jun 29, 2023

Good teacher and good content thank you for the knowledge

创建者 Alvin L

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May 13, 2023

I would suggest this course to anyone starting out in ML.

创建者 Mohammad H H

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Apr 1, 2023

A Masterpiece in AI world , Thank you Andrew and coursera

创建者 Adam P

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Mar 19, 2023

Great introduction course, not difficult just takes time.

创建者 Baburam C

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Mar 2, 2023

awesome with great details, Quizes, and practice problem.

创建者 Venkata K R

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Jan 5, 2023

It is the best course for machine learning in my opinion

创建者 Andrea Q

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Nov 26, 2022

Very interesting and well taught, definitely recommended!

创建者 Chao X

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Nov 2, 2022

It's pretty good! deeply understanding after this course!

创建者 Ioannis K

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Sep 5, 2022

Excellent for beginners but also experienced programmers

创建者 Bruno F A d C e C

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Aug 15, 2022

My greatest experience learning, thank you very so much!!