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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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31,366 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：

3126 - Supervised Machine Learning: Regression and Classification 的 3150 个评论（共 5,939 个）

创建者 Raja A K

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Jun 24, 2023

Very Good course to start learning Machine Learning

创建者 Xin

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Jun 10, 2023

Very good lectures, labs, and programming practices!

创建者 SWAMYA

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May 11, 2023

Best course I ever did , gonna complete all 3 series

创建者 M K

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May 7, 2023

Great Introduction to key Machine Learning Concepts.

创建者 Ravi S

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Mar 12, 2023

Engaing, excellently delivered to all learner levels

创建者 Suba S

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Feb 23, 2023

Very helpful

Easy to understand

Lan practice ishelpful

创建者 Mair A

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Feb 19, 2023

best beginner course for machine learning hands down

创建者 Ahmed D

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Jan 30, 2023

I cant how to thanks you , I learned many skills

创建者 Daulet I

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Jan 18, 2023

Good for newbies, I would include more Math examples

创建者 Bikram M

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Dec 27, 2022

One of the Best course offered by coursera for sure.

创建者 Alexandros G

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Dec 18, 2022

The best and simplest way to learn machine learning!

创建者 Aashrit G

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Dec 17, 2022

Worth each and every second invested in this course!

创建者 Siddharth S

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Dec 12, 2022

One of the best starter courses in Machine Learning.

创建者 Margaret O

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Nov 4, 2022

It was experiential and full of practical scenarios.

创建者 prince p

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Oct 23, 2022

It is Best Course to sharp your skill and learning.

创建者 Imad-Eddine ( C

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Sep 8, 2022

best machine learning course that i have seen so far

创建者 Benjamin S

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Aug 27, 2022

Très bon rappel sur les principes fondamentaux du ML

创建者 Asanka W

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Aug 17, 2022

great course for start career with machine learning

创建者 Erik W

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Aug 8, 2022

I really recommend taking this course, it's amazing!

创建者 Mohammed K A

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Jul 24, 2022

very simple altough i think is best one on coursera

创建者 Jose L P D

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Jul 2, 2022

great to refresh the concepts of the orignal coures

创建者 Nimesh K

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Nov 10, 2025

Very good course, especially if you are a beginner.

创建者 Adil K

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May 3, 2025

well designed and appropriate content for beginners

创建者 Eugene T

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Apr 24, 2025

Excellent material and excellent teaching approach!

创建者 Aditya V J

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Mar 23, 2025

Simply Exceptional. A must for every ML enthusiast.