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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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32,290 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

AP

Sep 3, 2022

A​ perfect course for beginners who are seeking to learn machine learning. I want to thank Mr. Andrew Ng and his team for this wonderful course. Thank you so much for providing this quality course.

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：

3726 - Supervised Machine Learning: Regression and Classification 的 3750 个评论（共 6,080 个）

创建者 Abdul Q

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Jan 30, 2023

Amazing course, Thankful to Andrew N.G

创建者 Lyndon G

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Jan 12, 2023

Good introduction to ML for beginners!

创建者 Padmaraju R K R

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Dec 27, 2022

One of the best course for beginners .

创建者 Guotong

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Nov 12, 2022

great lecture. intuitive and practical

创建者 Navas T

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Aug 18, 2022

The course is very good for beginners.

创建者 Tebalo K

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Aug 11, 2022

The best machine learning course ever

创建者 Alaa S A E

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Jul 14, 2022

good content and excellent instructor

创建者 Karn T

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Jul 8, 2022

Good Course with Python Implementation

创建者 aadithya m

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Dec 7, 2025

It was an amazing course by Dr Andrew

创建者 Chamodhya F

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Dec 2, 2025

Very interesting, very useful, Superb

创建者 Pouya B

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Sep 23, 2025

Speechless about this helpful course.

创建者 Juan P M M

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Aug 5, 2025

You understand completely the theory.

创建者 Camila N P C

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Jul 25, 2025

Excelente curso y bien explicado todo

创建者 RangerTM

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Jul 16, 2025

Really Good Teacher, Thank You Andrew

创建者 Mohamed E

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Apr 22, 2025

Nice course I truly benefitted a lot.

创建者 Victor T

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Feb 2, 2025

Simple and Clear - Great way to teach

创建者 Abhishek K

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Jan 15, 2025

A good way to start machine learning.

创建者 Mueed R

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Nov 26, 2024

Best course available for starting AI

创建者 Kandula S D

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Nov 13, 2024

A very good explanation by Andrew sir

创建者 Aryan S

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Oct 22, 2024

Amazing course definitely recommended

创建者 Maths f A

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Oct 5, 2024

Really beneficial to the job seekers.

创建者 Haoran F

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Sep 9, 2024

Comprehensive & friendly for beginner

创建者 Karolina g

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Sep 4, 2024

muy bien explicado, facil de entender

创建者 Hussain D

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Sep 4, 2024

I enjoyed it and loved the challenges

创建者 Immanuel . A . D

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Jul 25, 2024

Very helpful especially for beginners