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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：

2401 - Supervised Machine Learning: Regression and Classification 的 2425 个评论（共 5,946 个）

创建者 Christopher D

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Oct 16, 2023

The professor who presented it was great!!! Really liked his style of teaching

创建者 Reyhaneh D

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Sep 18, 2023

The course content was really helpful. The course material was easy to follow.

创建者 Rishav

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Aug 8, 2023

One of the best course I have ever came across. Absolutely beginner friendly.

创建者 ÖMER Ö

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Jul 20, 2023

it was really a very productive course and thank you very much for this course

创建者 BoonHwa T

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Jun 27, 2023

Excellent course instructor and materials. Very practical and easy to follow.

创建者 Milton G

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Jun 21, 2023

Very good course and Sir Andrew did great job as an instructor in this course.

创建者 Hamidreza K

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May 12, 2023

It really was a great course for me with perfect teaching thanks to Andrew Ng.

创建者 Arunava s

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Apr 14, 2023

AN EXCELLENT WAY TO BEGIN YOUR WAY INTO THE MACHINE LEARNING AND DEEP LEARNING

创建者 Satyajit S

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Feb 1, 2023

Andrew Sir is the best. This course is extremely helpful for students like me.

创建者 Martin T M

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Dec 6, 2022

Such a phenomenal amazing course. Thank you so much Professor Andrew and team.

创建者 Hexi P

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Oct 6, 2022

Very clear leaning plan! Details are explained very well and helped me a lot.

创建者 Francois M

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Oct 5, 2022

Very impressed by the quality of teaching and simplicity of the explanations.

创建者 Navin D

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Sep 13, 2022

Beatiful practice labs makes concept more understandable and easy digestible.

创建者 Redouane D

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Aug 25, 2022

This is a great course to get started in the field of artificial intelligence.

创建者 Martin S

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Jul 30, 2022

기대 이상이다. 간결하지만 핵심을 가격한다. 생활코딩 같은 난이도에, 잘 짜여진 코드로 이해를 더욱 돕는다. 그 어떤 책보다 낫다고 생각함.

创建者 Ishan M

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Jul 27, 2022

Great course, start from very basic and helpful in building solid foundation.

创建者 Shrirang M

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Jul 22, 2022

Great teaching methodology. Prof Andrew covered each and every topic in depth.

创建者 Deleted A

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Jul 11, 2022

Very well designed course. A ton of thanks to Dr. Andrew Ng and Team Coursera.

创建者 Samar

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Sep 23, 2025

Brilliant course, lovely hands-on projects, and amazing Professor Andrew Ng!!

创建者 Sagar C

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Sep 7, 2025

this was my first AI course and it has been an incredible learning experience

创建者 Syed I

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Jul 31, 2025

This was an amazing and beginner friendly course taught by a top-class mentor

创建者 Per T H

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Feb 26, 2025

Excellent if you want to get an overview of state of the art machine learning

创建者 Tatenda K

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Feb 12, 2025

Well delivered and easy to understand. Totally removed all fears I had for ML

创建者 Ajay D

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Jan 17, 2025

Excellent explanation. a very good course for a beginner from any background.

创建者 Abdulrhman E

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Nov 17, 2024

very high quality education, andrew is the one if the best teachers out there