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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：

1976 - Supervised Machine Learning: Regression and Classification 的 2000 个评论（共 5,932 个）

创建者 Mohan M

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Oct 14, 2025

This is one of the best courses on AI ML from renowned Prof Andrew NG. A must for all AI aspirants.

创建者 Lance K

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Jul 6, 2025

Challenging and approachable which is a difficult balance to create. Very nice and I learned a ton.

创建者 73Shivam R

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Jun 4, 2025

Very beginner friendly and this course gives a clear intution to understand each topic very easily.

创建者 Giuseppe

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Oct 20, 2024

Very clear. It starts from basic concepts and guides you through examples of increasing complexity.

创建者 Akshith A

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Sep 4, 2024

Great introduction to machine learning and enhances understanding by including the maths behind it.

创建者 Jimmy N

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Aug 8, 2024

I really love the pace and structure of this video course. Great explanation on gradient descent!!!

创建者 SUMAY R

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Aug 26, 2023

Crisp and to the point ..without much dilution in the core principle.

The instructor was exceptional

创建者 Zubair B

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Jul 23, 2023

A great way of teaching by the leading experts in the field of ML and efficient course structuring.

创建者 GAURAV J

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Jul 1, 2023

i never seen that kind of teacher and sir explain everything indepth thats requried for this course

创建者 Jamin E

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Jun 28, 2023

The Math was explained very well and each topic and every tiny bits where prioritised and explained

创建者 Cherish J

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May 5, 2023

very good labs and teacher is very enthusiastic......highly motivated to pursue career in AI and ML

创建者 Indula K

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Feb 12, 2023

This is a good course for learning ML with concept and theory while learning and practicing coding.

创建者 Uttaran D

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Nov 26, 2022

Assignments could be made a little less easier. Otherwise, excellently explained by the instructor.

创建者 Nusayba T

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Oct 9, 2022

I like that the instructor provides background on the mathematical proofs/derivation of the models

创建者 Nitin P

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Aug 28, 2022

i am exteremly happy to take this course. this is very helpful and willing to continue more courses

创建者 Yihalem Y T

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Jul 21, 2022

Very intuative and engagive course. This coures fortify my understing of machine lerning algorithm.

创建者 Rahul P

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Jul 3, 2022

very nice and biginier friendly course.pratice labs have best visulization to understand concepts.

创建者 Rahmat H

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Nov 6, 2024

Thank you, because after completing this course my understanding of machine learning has increased

创建者 Muhammed C Ö

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Apr 16, 2024

This was perfect experience. Thank you for teaching style, guided labs and intuition about topics.

创建者 Sunjiv S

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Mar 1, 2024

Great course for beginners! Teaching style of Andrew is so simple and yet so effective. Thank you!

创建者 imsuhailabass

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Feb 14, 2024

I just completed my first course from coursera. Received the certificate. Thank you team Coursera

创建者 Krishnamurthi R

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Jan 5, 2024

kinda mathematical course but very useful while performing task thank you Andre ng for this course

创建者 سنيو - c

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Dec 17, 2023

thank you so much for that great work, L consider this course as the best course I've ever learnt.

创建者 DEEPANSH S

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Oct 17, 2023

This course is very interactive and explains all the basic concepts in a clear and concise manner.

创建者 Saiphan B

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Sep 13, 2023

Very well explained course. Makes it easier to understand.

The material and content seems in place.