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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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31,304 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

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!!

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

筛选依据：

1926 - Supervised Machine Learning: Regression and Classification 的 1950 个评论（共 5,932 个）

创建者 sumanth p

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Jul 22, 2023

It was really a smooth and in-depth course. It really gave me a strong foundation in ML. Thanks to NG!

创建者 parham g

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May 19, 2023

masterpiece. Unbelievable clear explanation. DR Andrew NG is a genius in teaching. I loved the course.

创建者 Ashutosh

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Mar 23, 2023

One of the best courses I have done. Easily explained and you won't realize when your level increases.

创建者 Daniel B

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Mar 10, 2023

I really like the way he lecture , the lab and also grading system thanks for that stanford university

创建者 Pramod K J

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Nov 30, 2022

Best attended ever. Andrew is the best teacher in the world. I am very happy with his teaching skills.

创建者 Mostafa D

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Oct 19, 2022

This Course is a must for any one wants to begin thier jouney in Machine learning , Highly Recomended

创建者 afolami T

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Aug 7, 2022

It's an Awesome time with Andrew Ng. My online mentor.

Looking forward to the next part of the course.

创建者 Ethan B

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Jul 24, 2022

The course is great for anyone new to Machine Learning. The labs are also very helpful and insightful.

创建者 behrad r

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Oct 18, 2025

Thanks to Coursera and Prof. NG, this course Helped me to start my beautiful journey in the AI world.

创建者 Aziz K K

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Jul 18, 2025

Andrew Ng is the real goat. His smile and his knowledge is beyond this world. Thank you so much sir !

创建者 Saddam H

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Apr 30, 2025

If you are beginner then take this course more practice and learning with a passion you will succeed.

创建者 Nilay S

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Mar 31, 2025

excellent course for beginners in Machine Learning . kudos to Dr. Andrew Ng for this brilliant course

创建者 Gary W

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Oct 31, 2024

Amazing foundational knowledge taught in an intuitive way that only a master like Andrew can achieve.

创建者 Jhon L

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Sep 22, 2024

Es un curso que te ayuda a tener conocimiento estructurado desde una explicación sencilla, es genial!

创建者 K M

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Aug 18, 2024

The best machine learning course ever. Assignment system could have been implemented in a better way.

创建者 Irfan W

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Jul 21, 2024

Great course for beginners, if you are getting started with ML, this is the best place to start from.

创建者 Honore I

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Apr 18, 2024

Very insiinsightful mostly for Ml beginners to figure out the the math behind the implemented models.

创建者 Redy (

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Mar 7, 2024

Perfect! Explanations are on spot and easy to understand. Definitely a good ML course for beginners.

创建者 Ekta G

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Dec 10, 2023

amazing course absolutely appropriate for beginners as the language is some simple and understandable

创建者 Ankur R

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Jun 18, 2023

Very well directed course, started from very basic and discussed all the terms. Everyone must attend.

创建者 YIFEI W

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May 23, 2023

This is a really great course that help me a lot in Machine Learning. Thankyou so much Professor Ng!!

创建者 Abhishek N

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Oct 22, 2022

I really liked the course content and interactive labs to implement what we learnt during the class.

创建者 Aruni A

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Oct 5, 2022

this course increase my understanding regarding supervised and unsupervised learning to great extent