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

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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....

3876 - Supervised Machine Learning: Regression and Classification 的 3900 个评论（共 5,932 个）

创建者 Aymone K

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Jun 23, 2025

Fantastic course and instructor!

创建者 Amrita S

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Jun 15, 2025

so knowledgeful course thank you

创建者 Sakib J

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May 4, 2025

Andrew is a good man. Thank you!

创建者 gattu m

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Jan 20, 2025

Very good course and informative

创建者 RAHUL R

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Nov 5, 2024

First step into the ocean of AI.

创建者 Mohamed Y

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Oct 28, 2024

Thank you Andrew and coursera <3

创建者 Utsyo C

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Oct 20, 2024

Amazingly curated and presented!

创建者 James C A

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Oct 1, 2024

Very well taught in all aspects.

创建者 ISHITA M

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Sep 30, 2024

One of the best Coursera course.

创建者 Samrajya B

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Sep 28, 2024

An amazing course for beginners.

创建者 Prathamesh k

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Aug 1, 2024

well explained by the instructor

创建者 Junghoon C

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Jun 12, 2024

I learnt a lot from this course.

创建者 Somnath R

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May 27, 2024

I learned a lot from this course

创建者 Percy A

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May 20, 2024

Very insightful and great course

创建者 Idan D

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May 7, 2024

Great course, efficient lectures

创建者 JITENDRA K (

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Mar 20, 2024

good knowladge about this course

创建者 Umer K

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Dec 25, 2023

Best course to satrt learning ML

创建者 Sumaya A

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Dec 14, 2023

Excellent course for ML Beginner

创建者 CHENGHONG L

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Dec 13, 2023

The best machine learning course

创建者 Kishan T

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Nov 25, 2023

It is the best course! the best!

创建者 Alexander L M

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Oct 27, 2023

Fantastic course and instructor.

创建者 Sara N

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Sep 1, 2023

You are a good teacher Andrew Ng

创建者 MAI A

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Aug 10, 2023

Wonderful explaining and content

创建者 Prerana b

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Jun 12, 2023

very insightful and interesting.

创建者 Ritik R

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Jun 7, 2023

must do course if beginner in ml

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

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3876 - Supervised Machine Learning: Regression and Classification 的 3900 个评论（共 5,932 个）