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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

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.

WB

May 23, 2024

amazing course and super easy to follow. my only problem is that it doesn't delve too deeply into the math and science of things and focuses more on practical applications rather than how things work

筛选依据：

2801 - Supervised Machine Learning: Regression and Classification 的 2825 个评论（共 5,944 个）

创建者 NM K

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Apr 7, 2024

Thank you so much for precious lecture and opportunity to learn

创建者 Sajjad A

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Oct 21, 2023

This is one of the course which I would say learn a lot from it

创建者 Muhammad U

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Oct 8, 2023

Greate Course by Dr. Andrew. Everyone should learn this course.

创建者 zain m

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Aug 25, 2023

Excellent course. Way of explaining of Mr. Andrew is excellent.

创建者 Pascal U E

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Aug 9, 2023

I enjoyed every bit of this amazing course, I do recommend it !

创建者 Md.Shahzar I

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Jun 29, 2023

A very good course. I learned many things outside of my domain.

创建者 Zhihua Z

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Jun 23, 2023

One of the best explanations about machine learning algorithms.

创建者 Vaibhav S

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May 15, 2023

very good course for learning practical ai and machine learning

创建者 ArmaniO

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Mar 31, 2023

Super well instructed by Andrew NG as usual. Thank you Coursera

创建者 Max O

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Mar 10, 2023

Excellent course even when the math can be considered advanced.

创建者 Nehal B

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Mar 4, 2023

A very nice module to kickstart your ML journey as a beginner.

创建者 hopeless s

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Feb 27, 2023

A cool course with a complete explanation of core ML algorithms

创建者 Morteza D

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Nov 17, 2022

it was so good andrew ng is a wonderful master. i enjoyed a lot

创建者 Samuel F G

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Sep 26, 2022

Really attractive and smart course, appreciations to Andrew Ng!

创建者 Luis S

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Sep 18, 2022

A very good and beginner-friendly course. Totally recommended.

创建者 Minh T

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Sep 17, 2022

Very useful in my specialization. Thanks for all your kindness

创建者 Paulito M

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Sep 7, 2022

Good flow of lessons and gives a good mathematical background.

创建者 Deepak P

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Aug 22, 2022

excellent course structure wise and teaching wise

very good labs

创建者 Elahheh S

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Aug 11, 2022

This course answered most questions I had about classification.

创建者 ashbab k

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Jul 21, 2022

Full theoratical and practical course especiallly for beginners

创建者 NAFIS A

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Nov 25, 2025

It has a nice environment to learn with hands on practice lab.

创建者 Natasha h T

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Jul 14, 2025

The instruction explains complex algorithm very well and c;ear

创建者 deekshitha

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Jun 30, 2025

That was amazing experience under the guidance of Andrew sir:)

创建者 Shrey P

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May 27, 2025

One of the best course, Thank you so much for this opportunity