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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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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

AD

Nov 23, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

筛选依据：

4776 - Supervised Machine Learning: Regression and Classification 的 4800 个评论（共 5,916 个）

创建者 Sbitnev M

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Nov 7, 2024

Best courses

创建者 Aarti S

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Oct 2, 2024

Overall good

创建者 Varsha P

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Sep 12, 2024

Very helpful

创建者 Soumil K

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Sep 1, 2024

great course

创建者 song l

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Aug 25, 2024

great course

创建者 Zeal O

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Aug 21, 2024

great course

创建者 Kareem E Z

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Aug 1, 2024

great course

创建者 Ilya A

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Aug 1, 2024

I love it ^^

创建者 AKSHAT S

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Apr 7, 2024

great course

创建者 Deleted A

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Apr 3, 2024

Great course

创建者 Mridul M

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Feb 29, 2024

great course

创建者 Miguel M P

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Feb 27, 2024

Really good.

创建者 Rakesh R

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Jan 27, 2024

great course

创建者 nikhil y

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Dec 23, 2023

Great course

创建者 Holger N H

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Dec 7, 2023

excellent !!

创建者 Muhammad H

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Oct 16, 2023

It's Amazing

创建者 Wahab A

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Oct 7, 2023

Best course.

创建者 Revanth C

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Sep 18, 2023

Exceptional!

创建者 Armin p

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Sep 17, 2023

great course

创建者 Anish K D 2

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Sep 1, 2023

Very helpful

创建者 Muhammad H A

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Aug 12, 2023

Great Course

创建者 Shrisha S

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Aug 11, 2023

Great Course

创建者 Ziad G

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Jul 29, 2023

Great course

创建者 Chathura R

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Jul 16, 2023

Great course

创建者 Kian S

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Jun 26, 2023

Great Course