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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:

2701 - Supervised Machine Learning: Regression and Classification 的 2725 个评论(共 6,053 个)

创建者 Bassel E

Dec 17, 2025

Good foundational introduction to ML, and useful labs and exercises.

创建者 naveed a

Nov 25, 2025

well designed videos, labs, shortly everything was perfect and clean

创建者 Michael M M

Nov 19, 2025

Muy bueno te explica desde las bases teoricas hasta la programación.

创建者 Nikhil L

Nov 9, 2025

Very good course. It makes learning ML so enjoyable and interesting.

创建者 Martin P

Oct 27, 2025

Great teacher, material easy-to-follow. Overall really good content!

创建者 Pandurang C

Oct 4, 2025

very interesting and deepen the understanding of supervised learning

创建者 Rithwik Y

Mar 5, 2025

Best course for beginners. The structure of this course is just🤌🏻✨

创建者 Josué M

Dec 19, 2024

Muito bem explicado, com paciência e excelente profundidade técnica.

创建者 Robert W

Sep 15, 2024

Thanks Andrew. Excellent balance between practical and theoretical.

创建者 Anvesha C

Jun 23, 2024

hands on experience with machine learning. really good for beginners

创建者 Chandisha D

May 5, 2024

Well explained in easy way and no hustling. learning at my own pace.

创建者 Anna N

Apr 3, 2024

Perfect course! Andrew is fantastic and calming, loved every moment!

创建者 Dayra A E C

Jan 12, 2024

A very well structured course, also Andrew is very good at teaching.

创建者 Pranav K

Jan 11, 2024

This is very much designed for beginners like me. I love this course

创建者 Roy S

Oct 31, 2023

really fun and interesting course, Andrew was a really good teacher!

创建者 hoàng v

Oct 6, 2023

It is a really good, practical and useful course i have ever joined.

创建者 TT C

Aug 8, 2023

I truly enjoyed the level of math that was provided with the theory.

创建者 Vijay K B

Aug 5, 2023

It was a great journey and happy to say that this deserves a 5 star

创建者 Martin J

Jul 9, 2023

super informative and presented in concise and progressive lessions.

创建者 Miraj D B

May 21, 2023

a perfect course for machine learning if u want to be data scientist

创建者 Antonio T

May 11, 2023

I would like to have more options to understand the maths behind all

创建者 Varun A

May 9, 2023

A great introduction to Machine Learning concepts. Easily explained.

创建者 Naveen V

Mar 13, 2023

Informative course with Good explanation by Andrew NG sir. Thank you

创建者 Marzieh M

Feb 22, 2023

This course was really useful to me. Thanks a lot for financial aid.

创建者 James W

Feb 9, 2023

Great Introduction to ML. Looking forward to the rest of the course.