Name: Supervised Machine Learning: Regression and Classification
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (5928 reviews)

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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

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31,304 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....

3901 - Supervised Machine Learning: Regression and Classification 的 3925 个评论（共 5,932 个）

创建者 LALIT C

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Apr 3, 2023

Intuive and Wonderful Experience

创建者 Youcef M

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Mar 11, 2023

It is a very instructive course.

创建者 MADDILA S A 2

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Feb 27, 2023

GOOD COURSE FOR MACHINE LEARNING

创建者 MINHAZ C

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Feb 1, 2023

I have learned a lot! Thank you!

创建者 Ayaz A

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Dec 28, 2022

The best ever course on internet

创建者 Hansen C

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Dec 28, 2022

Great lecturer with great course

创建者 Ankit K

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Dec 15, 2022

I loved the way Andrew ng taught

创建者 Claudius M

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Nov 14, 2022

super intuitive course i love it

创建者 Mohaned M

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Sep 10, 2022

best instructor everrrrrrrrrrrr

创建者 Zaid R

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Jul 22, 2022

AMAZING COURSE. LOVED IT!!!!!!!!

创建者 Diaa E

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Jul 16, 2022

i really have enjoyed the course

创建者 Ragulkanna V

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Dec 2, 2025

Great for learning basics of ML

创建者 Celismar O

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Sep 27, 2025

Excellent. Very well explained.

创建者 Francesco D

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Aug 13, 2025

Outstanding Learning Experience

创建者 Jingsheng L

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Jun 16, 2025

pretty engaging and heuristics.

创建者 Parth S

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May 16, 2025

Complex math made easy by tutor

创建者 Staffan L

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Mar 22, 2025

Well presented and interesting.

创建者 Oloo

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Jan 13, 2025

helpful impressive and exciting

创建者 mahesh b

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Sep 13, 2024

Very good course to start with.

创建者 Nikhil B

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Aug 25, 2024

Best course by the best teacher

创建者 Gurjot S

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Jul 21, 2024

tremendous course to start with

创建者 Debshuvra S

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Jul 9, 2024

The course is literally so good

创建者 Jaider S M Q

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Jun 22, 2024

Es el mejor curso que he tomado

创建者 vincent s

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May 29, 2024

Very clear and useful knowledge

创建者 Rolando R Z C

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Apr 25, 2024

Very carefully designed course.

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

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3901 - Supervised Machine Learning: Regression and Classification 的 3925 个评论（共 5,932 个）