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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

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.

AM

Jul 16, 2022

It is the Best Course for Supervised Machine Learning!Andrew Ng Sir has been like always has such important & difficult concepts of Supervised ML with such ease and great examples, Just amazing!

筛选依据：

2876 - Supervised Machine Learning: Regression and Classification 的 2900 个评论（共 5,942 个）

创建者 Sebona W

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Oct 31, 2024

Its beginner friendly course and best course I've ever found

创建者 Syed M M T

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Oct 18, 2024

you all are the best. THANK YOU SO MUCH, i learnt a lot here

创建者 Kartik A

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Aug 7, 2024

It thoroughly explains the fundamentals of machine learning.

创建者 Ashwin A

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Jul 21, 2024

Excellent content, thoroughly understood whatever was taught

创建者 Ayobami F

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Jul 15, 2024

I'm really grateful to Deeplearning.ai and Coursera for this

创建者 Minh T

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May 15, 2024

straight-forward, detailed lectures with implementation code

创建者 OSCAR R R V

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Mar 16, 2024

very useful, some times its hard hard to learn all concepts.

创建者 Ashar N

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Dec 2, 2023

A simple and understandable introduction to machine learning

创建者 Tashyab R

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Sep 28, 2023

Hands down the best introductory course on Machine Learning.

创建者 KOFFI B D

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Sep 22, 2023

Excellent course to dive into the world of machine learning.

创建者 Yunfei T

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Aug 25, 2023

Extremely straightaway, and very suitable for fresh learner.

创建者 Jaskeerat S

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Jul 30, 2023

Really well made course along with well designed assignments

创建者 Javier A

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May 25, 2023

Incredibly ... thank you for sharing this outstanding job!!!

创建者 Alosh D

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May 11, 2023

This course was a blast!!! So easy to comprehend and digest.

创建者 Pavlo T

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Dec 28, 2022

Very cool course for beginners! Great lectures and examples.

创建者 Phan P

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Oct 3, 2022

Good courses for beginner learn supervised machine learning

创建者 MOHIT M

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Sep 16, 2022

https://hua.dididi.sbs/learn/machine-learning/home/week/1?

创建者 Michal S

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Sep 13, 2022

Nicely put and perfectly visualised examples, great course!

创建者 Jolan T

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Aug 7, 2022

Excellent course! I really enjoyed the laboratory exercises.

创建者 Devashish C

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Jul 23, 2022

Hands down the best Introductory Course on Machine Learning

创建者 Torben A

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Jul 22, 2022

Very interesting. Good mix of theory and practical examples!

创建者 Luis F M

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Jul 13, 2022

Excellent for learning the fundamentals of machine learning.

创建者 Don C

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Jun 4, 2025

Professor Ng is an amazing teacher. Stanford does it again!

创建者 Rachel C

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Mar 22, 2025

methodical, super clear and with excellent labs and quizzes

创建者 Aqila

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Jan 22, 2025

The best course for Learning Machine Learning Fundamentals.