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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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31,265 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：

1801 - Supervised Machine Learning: Regression and Classification 的 1825 个评论（共 5,926 个）

创建者 Nayan D

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Mar 20, 2023

Really great course for diving into the world of Machine Learning. Excellent explanations. Great online labs.

创建者 Aashit A

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Dec 21, 2022

Andrew NG explained the machine learning concepts in very simple way, and further looking for the next course

创建者 Hichem M

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Oct 16, 2022

Excellent course that combines theoritical and practical aspects for regression and classification problems.

创建者 Vasyl S

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Oct 12, 2022

Great. Professional. Comprehensive. Inspiring.

I am also grateful for financial aid to complete this course.

创建者 Aldo G

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Jul 31, 2022

It is better than the previous version in octalab, keeping clear explanation and more interactive with Adrew.

创建者 Hieu H T M

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Sep 4, 2025

I have learned a ton of things in this course. It help me know more clearly about the path in AI engineering

创建者 shanmukh

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Mar 19, 2025

very clear and neat explanation ,even non techie can understand ,extreamly elagant teaching by andrew ng sir

创建者 Irala R

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Feb 20, 2025

Absolutely best beginner friendly machine learning course ever!!!! Learned a lot and absolutely recommended.

创建者 S P A K J

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Dec 22, 2024

The step by step approach of teaching complex concepts in easier straight forward way in progressive manner.

创建者 Luca C

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Oct 25, 2024

One of the best courses I have ever taken throught my University career. A must for everyone in this domain.

创建者 Nico T

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Oct 5, 2024

Excellent introduction, extremely clear, fantastic visualizations. Highly recommended for absolute beginners

创建者 Aisha U

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Jul 3, 2024

This course provided a great foundation for machine learning. A perfect balance between the math and coding.

创建者 Milad M

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Apr 22, 2024

This course is an essential for every engineer and the instructor of it is the one you cannot find anywhere.

创建者 Mahanand Y

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Mar 16, 2024

Very well designed course. Teaches you with basics of ML. Kudos to entire Deeplearning.AI team and Coursera.

创建者 Nguyễn Q P

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Jan 12, 2024

All the terms in this course are explained in an easy-to-understand way. Thus, it is insprising to me a lot.

创建者 Rajesh S

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Nov 15, 2023

The course is explicitly for people working in Statistics or Maths with zero knowledege on Machine Learning.

创建者 Maria B

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Oct 3, 2023

Very well done, loved it! The training has the right pace and Andrew Ng is very good explaining. Thank you!!

创建者 Pradyun G

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Aug 20, 2023

Hats off . Never saw such a detailed course on these topics. A big shout out and thanks to professor Andrew!

创建者 SAMUEL R

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Jul 14, 2023

I learned a lot about linear regression and logistic regression, then the cost function and gradient descent

创建者 Milad H

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Jun 16, 2023

This course was great. I enjoyed watching Mr.Andrew NG's teaching and mathematics was so interesting for me.

创建者 Aditya P

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Apr 14, 2023

The course was really great, it builds your mathematical skills and teaches how to implement it into coding.

创建者 Jesse T

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Mar 5, 2023

I am new to this. I have done coding in college but this is a great step into understanding machine learning

创建者 FABIAN G

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Feb 20, 2023

I did several IA related courses in the past but I had not found such a good teacher as Andrew NG. Thank you

创建者 Miroslav Z

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Feb 17, 2023

Excellent explanation of supervised machine learning with very useful practice examples. Highly recommended!

创建者 Vivek J

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Nov 24, 2022

Just amazing. Thank you for providing this for free. Thanks to Prof Andrew ng for fueling my passion for ML.