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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
31,304 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:

1826 - Supervised Machine Learning: Regression and Classification 的 1850 个评论(共 5,928 个)

创建者 Tejas K

Sep 28, 2022

Very well-planned course curriculum.

Excellent course instructor. Basics of ML done right with this course.

创建者 Gina

Aug 1, 2022

A great course to start your journey into the fields of  Machine Learning. Andrew Ng is the best ML teacher.

创建者 Jesus A H M

Sep 26, 2025

Muy bien explicado, llegue con cero conocimiento y salgo con capacidades para enfrentarme a conceptos de ML

创建者 Jordi E G

Jan 14, 2025

Good explanations, use cases and practice labs make stepping into ML and AI with this course very enjoyable

创建者 Ankit G

Dec 27, 2024

AAAAAAAAAAAAWWWWWWWESSSSSSSSSSSSSSOOOOOOOOOOOOOOOOOMMMMMMMMMMMMMMMMMMMMMMMMEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEEE

创建者 Tejesh N

Aug 1, 2024

damn ! This course was easy to understand and have more practical experiment with easy to access learnings.

创建者 Arvin B

Jan 29, 2024

Exceptionally good! Simple visuals, easy to understand explanations with the best part is the hands on labs

创建者 om s s

Dec 29, 2023

The course covers all the basic concepts to get started with Machine learning and Artificial intelligence !

创建者 Vincent L

Dec 7, 2023

Nice course presenting all the basic principles needed to understand and use regression and classification!

创建者 Vincent D

Sep 4, 2023

The course was very well organized. I felt that it was optimized for people at all levels! Keep shining!!!

创建者 Gursimer K

Jul 30, 2023

Wonderful! course this is what effort is i really understood each and every topic and I rate this course5/5

创建者 刘昱祺

Jun 5, 2023

It is more than classic and interesting.It is my sincere hope that I could be NG's student offline one day.

创建者 Begoña V

Dec 2, 2022

Excellent instruction, explanation and materials. I especially loved the optional labs and the assignments.

创建者 Gantumur B

Jul 14, 2025

It was a great intro course to machine learning. Loved the examples, practices, and exercises of the Labs.

创建者 Muhammad A

Feb 4, 2025

Learning experience at Coursera has been an amazing journey with talented mentors, particularly Andrew NG.

创建者 Jonathan D

Sep 13, 2024

Thorough coverage of the topic and very well presented by the engaging and highly knowledgeable Andrew Ng.

创建者 Jose L B F

Feb 8, 2024

I 'm very happy for the opportunity to have learned this course. Thank you very much for all the learning.

创建者 Aman D

Feb 4, 2024

Really helpful for starting machine learning, useful guidance along with practical labs just after theory.

创建者 Andy W

Nov 19, 2023

Great lectures and relevant coding lab assignments. They effectively teach the concepts of supervised ML.

创建者 wilson f s

Oct 14, 2023

Es un curso didáctico, que explica con suficiencia los retos de la regresión y clasificación. Recomendado.

创建者 Anshuman A

Sep 9, 2023

Very nice and useful course. Made learning very easy and I hope to use this course ahead in my future too.

创建者 mohammadreza p

Jul 31, 2023

it was really helpful and taught me ML from scratch.

great thanks to everybody associated with this course

创建者 Anurup G

Jul 21, 2023

It was such a slow gradual way of building up to tough concepts. I never felt the burden but learnt a lot.

创建者 Aman S

Jul 7, 2023

It would be better if we had some python tutorial in starting of course.

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创建者 Sayed G

Jun 24, 2023

Very powerful course to get start in practice with ML..

Learned a lot and have funny time with Dr.Andrew :)