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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
31,265 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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

筛选依据:

1726 - Supervised Machine Learning: Regression and Classification 的 1750 个评论(共 5,926 个)

创建者 Bizhan H

Mar 17, 2025

It was a really good starting point for me. I definitely suggest that you take this course if your are a beginner

创建者 Kpl A

Sep 20, 2024

Very much understandable and best course on ML to learn, Thankyou Deeplearning.ai , Stanford Online and Andrew NG

创建者 Mehmet E G

Jun 15, 2024

Bu kurs, makine öğrenimi konusuna Sağlam bir temel atmamı sağladı. Andrew Ng öğretmenimize çok teşekkür ediyorum.

创建者 Hossein N

Mar 19, 2024

I wholeheartedly appreciate Mr. Andrew Ng for his brilliant and fluent teaching skill. This course was fantastic.

创建者 Vagheesh M K

Dec 30, 2023

The course instructor is the Master of AI Andrew Ng. What more can I say. Perfect Course in all sense of the term

创建者 陈瑞麟

Aug 6, 2023

我认为吴老师的授课十分有趣,而且学习的章节内容安排十分具备逻辑性,让我乐在其中。但是我认为对于我这样的代码新手,在实验室部分应该先进行需要学习的代码的认识再进行编写,不要直接给出现成代码,这样能促进学习的效率和引起更高的兴趣。

创建者 Karthik B

Jul 27, 2023

I am grateful to Coursera, Andrew Ng and all the people involved in making this wonderful course available to me.

创建者 Kalgee J

Jul 14, 2023

The course is well-taught, theoretical as well as practical concepts would be far more clear after completing it.

创建者 Javier S H

Jun 18, 2023

Thanks and congratulations for this course. Really nice introduction to regression and classification algorithms!

创建者 Mihir U

May 9, 2023

Explained the underlying working of ML algorithms and teaches the abstractions that are used in the real world...

创建者 Anand J

Feb 24, 2023

This is the best course to learn the first two algorithms of machine learning. Highly reccomended for beginners.

创建者 Jelena P

Jan 15, 2023

Great course! I learnt a lot and I would recommend this course to anyone starting out a Machine Learning journey.

创建者 antonin p

Dec 22, 2022

Maybe students could have more to do : the examples are already fully completed and most of the lab are optional.

创建者 Ali R

Nov 29, 2022

This course is one of the best Ml courses in the world. I enjoyed the lessons and also like the teacher very much

创建者 Shubham P

Oct 20, 2022

NICE AND EXCILLENT , HELPED ME LOT TO LEARN THE BASICS OF MACHINE LEARNING AND IMPLIMENTING THE REGRESION MODELS

创建者 Balaji

Sep 8, 2022

My personal favorite is the interactive notebooks which helped me finally grasp on the concept of regularization

创建者 Reza

Aug 16, 2022

I like the full and easy way of teaching that Andrew Ng has. Nothing to say but I've ejoyed attending the class.

创建者 Wisal M

Aug 7, 2022

Well designed and excellently organized contents!

Math part was exquisite, I understood it although I didn't xd.

创建者 Brigitte D

Jul 19, 2022

It's a good starting point for a Machine Learning journey and I help you to start refreshing your Python skills.

创建者 Muhammad Z U A

Dec 4, 2025

Well-Structured, user-friendly Course, the best to start and to put your steps in this field! Highly RECOMMENDED

创建者 Roberto E J S

Aug 19, 2025

Un curso que explica todo a detalle, además se complementa con el laboratorio que es donde se trabaja el código.

创建者 Gustavo S

Dec 7, 2024

I really enjoyed this course, it is a great option to build a strong foundation in Regression and Classification

创建者 Felipe M L

Jul 7, 2024

Its the best course I've done online. I feel it's very easy to follow, even if you havent studies a STEM career.

创建者 Krishna S

Jun 17, 2024

Very Descriptive Notebooks and Very Simple and Deep Explanations by the Instructor. Felt like an offline course.

创建者 Niroshan V

Jun 14, 2024

amazing coure, Helped me very much to digest the basics of machine learning... Practice labs were very useful...