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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

FA

May 24, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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!!

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5226 - Supervised Machine Learning: Regression and Classification 的 5250 个评论（共 5,926 个）

创建者 partheniac

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Oct 22, 2022

good

创建者 Junping W

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Oct 8, 2022

good

创建者 Garima S

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Oct 7, 2022

NICE

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Oct 2, 2022

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Sep 28, 2022

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Sep 21, 2022

great

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Aug 22, 2022

great

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Jul 31, 2022

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Jun 30, 2022

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Dec 9, 2025

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Dec 8, 2025

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Nov 26, 2025

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Nov 17, 2025

nice

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Nov 15, 2025

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Sep 23, 2025

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Sep 4, 2025

best

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Aug 19, 2025

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Aug 18, 2025

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Aug 13, 2025

PEAK

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Aug 4, 2025

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Aug 3, 2025

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Jul 30, 2025

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Jul 29, 2025

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Jul 27, 2025

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