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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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32,078 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：

2301 - Supervised Machine Learning: Regression and Classification 的 2325 个评论（共 6,053 个）

创建者 Ankan S

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Sep 26, 2022

Very nice course Covers all the basic aspects of ML Excellent teaching by Andrew Sir

创建者 Stuart K

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Jul 21, 2022

Loved the labs, great animations the illustrated the concepts to build understanding.

创建者 Aleksander S

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Jul 20, 2022

Very nice. Intuitive. Explaned clearly and with just enough details. Expecting more!!

创建者 Thomas D

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Jul 17, 2022

Exceptional course that does a great job breaking down the math behind the ML models.

创建者 Alessandro D

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Jul 6, 2022

Ótimo curso, e os exercícios práticos ajudam bastante quanto a questão de programação

创建者 203_ANIRUDDHA N

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Nov 9, 2025

Extraordinary teaching , Thank you Mr.Andew Ng sir for helping me. Love from India.

创建者 Muhammad Z I

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Jul 25, 2025

Best course for beginners Amazing experience to learn from the best tutor Andrew Ng

创建者 Suratkal

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Jul 12, 2025

One of the Finest course on ML right now in the modern era of AI Beginner friendly.

创建者 BHAGAT R D

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May 29, 2025

Excellent course that offers a strong foundational knowledge and build up intuition.

创建者 Elton A M M

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Jan 28, 2025

Excelente base para entender ML Supervisado y previas para entender Redes Neuronales

创建者 Maria M

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Jul 27, 2024

It is the most intuitive and detailed course I have ever had, I loved it. Thank you!

创建者 Yinwei Z

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Jan 18, 2024

Goated for giving you the intuition (and math jargon) to make sense of the textbooks

创建者 Amit T

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Nov 11, 2023

The course and the instructor is awesome! It just is very thorough and fun to learn.

创建者 Purva M

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Jun 29, 2023

Awesome experience.. Teaching pattern is really very good and helpful for learning..

创建者 Mahdiyar T

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Jun 22, 2023

this course is very useful , Andrew Ng is one of the best tenure in Stanford(Online)

创建者 PRIYANJALI

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Jun 6, 2023

It was the best curse on ML. Andrew Ng is my favourite instructor now. Thank you sir

创建者 Ramy K

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May 8, 2023

the best course and explains details, a bit hard but will get you the best algorithm

创建者 Isidora V

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Apr 5, 2023

Great and thorough course for beginners in data science. I enjoyed learning with it!

创建者 Charan R

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Feb 10, 2023

Pretty good introduction and approach in introducing concepts is indeed commendable.

创建者 Libor S

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Nov 30, 2022

Great course to learn bases for more advance machine learning in later series stages

创建者 Atharva P

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Sep 8, 2022

Andrew NG is amazing in the entire course, I really learned so much from this Course

创建者 Yung-Hui H

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Aug 15, 2022

Intuitive explanations to help understanding, highly recommended introductory course

创建者 Akshit A

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Aug 2, 2022

Amazing course with adequate content on the mathematical intuition ; no more no less

创建者 Aiden S

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Aug 2, 2022

Goes well into the practical approach of machine learning , really enjoyed the labs.

创建者 Valentin R

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Jul 3, 2022

The Course is amazing. Every minute of learning was woth it. What a crack Andrew Ng!