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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
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:

2626 - Supervised Machine Learning: Regression and Classification 的 2650 个评论(共 5,941 个)

创建者 Dmitry

Dec 20, 2022

Really great course! Recommend everyone who has lack of ML knowledges!

创建者 Rajarshi R

Dec 15, 2022

It is an amazing course, I really loved the explanation of Andrew sir.

创建者 Bimal D

Dec 13, 2022

Stellar starting point for people who wants to understand fundamentals

创建者 Joshua A

Nov 30, 2022

Love the pace of the course and the amount of content being delivered.

创建者 Ahmed T

Sep 17, 2022

So valuable course with easiness in providing the required knowledge.

创建者 Sujon N

Jul 4, 2022

I am satissatisfied to learn basic practical theory of Supervised ML.

创建者 Srisaihariharan S

Nov 23, 2025

complex theory explained in simplest manner hatsoff to prof. adrew ng

创建者 يوسف ض

Oct 8, 2025

Peak introduction to ML and AI , many thanks to Andrew and his team .

创建者 Jonas R M

Apr 11, 2025

Andrew Ng is great at teaching. Keeps it simple and straight-forward.

创建者 Jose S

Apr 10, 2025

Exceldente el profesor, el curso rompio mis esquemas de conocimiento.

创建者 Omar S

Mar 22, 2025

A very good entrance to Machine Learning with excellent demonstration

创建者 Aryan J c

Jan 23, 2025

Thank you so much! this course was amazing and I learnt a lot from it

创建者 Josue D P A

Jan 16, 2025

Excelente curso, se explica muy bien y se califica de muy buena forma

创建者 ROSHAN S

Jan 11, 2025

If you want to start your ML journey, this should be your first step.

创建者 Kavinaya V

Sep 14, 2024

I hope this course is learnt by many and get loved just like how I do

创建者 Douglas N

Jun 24, 2024

Incredible course! I just wish we were able to write a bit more code.

创建者 Omar R S B

Mar 18, 2024

Amazing course! I enjoyed it and gained valuable information from it.

创建者 Alirio H M B

Feb 27, 2024

Great professor, great content, I learned a lot, totally recommended.

创建者 Math 4

Feb 17, 2024

I can only say thank you very much coursera a and professor Andrew Ng

创建者 ANSHUMAN D

Nov 27, 2023

Thank you Coursera and Prof. Andrew Ng for this amazing course on ML!

创建者 Rahul A

Oct 23, 2023

Excellent course for someone starting their Machine Learning journey.

创建者 Xi L

Oct 5, 2023

Course is great, I apparently need more practices myself to master it

创建者 Yahya A

Aug 3, 2023

Very detail oriented a lot of theoretical lessons and very good labs.

创建者 Warich S

Jul 15, 2023

flawless course for machine learning that I ever been through before.