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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
32,078 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:

1101 - Supervised Machine Learning: Regression and Classification 的 1125 个评论(共 6,053 个)

创建者 Leith S

Jun 11, 2023

Really good lesson plan and delivery to explain the fundamentals. Some previous python numpy will help with the coding exercises, but what you need is taught in the course.

创建者 Tonatihu S

Apr 30, 2023

One of the best courses I've taken so far! I loved that you provide scikit-learn examples so we could compare how easy it is to implement the algorithms using this library.

创建者 MCMXCVII N

Feb 3, 2023

Everything is crystal clear to understand even if you're not familiar with python language. Instructing was so flexible specially for beginners. Recommended for beginners!

创建者 Jim W

Aug 14, 2022

I took Professor Andrew Ng's original ML course in 2012 and decided to take the new ML specialization as a refresher. So far, it's exceeded my expectations! Very well done!

创建者 Meisam R

Jul 14, 2022

The best refrence for those who are interested in having a deep and solid understanding of the ML concepts and not just know how to use some library codes like Tensorflow.

创建者 Sourja N

Dec 17, 2025

This was my first course in Coursera, and I loved it!! Sir Andrew Ng is the depiction of the perfect teacher in this AI/ML era. Awesome explanations, great experience! ❤️

创建者 Aarsh W

Jun 1, 2024

It's a nice course for beginners; however, if you are looking for a more mathematical course with a theoretical foundation, do check out Stanford CS229 by Prof. Andrew Ng.

创建者 qinwinter

Sep 1, 2023

Thanks to the course,i learnd a lot about Regression and Classification.The course raise my passion of machine learning. I wil learning the other course with more efforts.

创建者 Ahmed O

Jul 26, 2023

That's how education shall be! Thanks Andrew and the team for such amazing learning experience, very motivated to continue the rest of the Machine learning specialization!

创建者 Santiago A S

Mar 29, 2023

Great intuition to teach concepts, excelent course material and a lot of fun to discover. Thank you very much for all the knowledge you shared through this specialization.

创建者 Usman A K

Nov 30, 2022

Excellent teaching style. Question after every concept in the video is very interactive. One thing I felt is that somehow coding must also be interactive during the video.

创建者 Jose O

Oct 22, 2022

Really good, even when you already know the stuff, this course is great. I never seen this aproach of implementing things from scratch in another machine learning course!

创建者 babak r

Sep 5, 2022

thank to you prof. dr. Andrew Ng and all the team in coursera and deeplearning.ai for this outstanding course and amazing platform that makes learning easy and enjoyable.

创建者 Zohaib S

Jul 24, 2024

Course gives you a great deep dive into the basics of machine learning with a focus on understanding the inner workings of machine learning models in a simplified manner.

创建者 Finnegan J C

Jul 9, 2023

What a great intro to Machine Learning!! Andrew is a great teacher. He goes slow but at the end of each week you look back and are surprised with how much you've learned.

创建者 VADLAMANI R S S

Feb 21, 2023

Excellent course. It gives better understanding on basics of machine learning. This is the best course for the beginners and freshers who wants to learn machine learning.

创建者 Dr.P.M.Prasuna

Aug 14, 2022

Thanks toAndrew Ng for wonderful sessions.The way Andrew explains the concepts is really interesting.Enjoyed all his lectures thoroughly.The lab sessions are very useful.

创建者 Vijay K

Nov 28, 2025

I am always believer if the foundation is good then everything falls into. This is perfect course me to understand the foundation and basics with actual roots of the ML.

创建者 AJ Z

Aug 9, 2025

Excellent introductory course to ML! The examples are clear and the labs are very helpful to understand its applications. A little bit of Python indentation is required.

创建者 hanah

Mar 10, 2025

It was a great course and i really enjoyed it. The maths was a little bit confusing at times but Andrew explained it in very simple terms and made it easy to understand.

创建者 Nassim T

Nov 25, 2024

The course material was understandable. Andrew is an excellent teacher. The labs were great and the graded assignment were all reasonable and also educational. Thank you

创建者 Fawad A K

Nov 11, 2024

For me this course is very informative i learned a lot in this course , at the end i want to thanks Andrew and his team for organizing such a good course for beginners..

创建者 Shaik H

Jul 2, 2023

It is helpful for us to learn more and more courses in free of cost and coming to the course Andrew sir has explained the course in neat and clean manner .Thank you sir

创建者 Carlos A B G

Jan 10, 2023

Great course to understand the basics of Machine Learning. I had already knowledge about many topics in the course, but still was very useful to strengthen my knowledge.

创建者 BALA M K

Jul 5, 2022

Completely beginner-friendly and helped me navigate the world of ML terminologies easily. I I would definitely recommend it to anyone who wants to switch to a ML career.