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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

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

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.

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4801 - Supervised Machine Learning: Regression and Classification 的 4825 个评论（共 5,919 个）

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

创建者 Vansh C

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Jun 24, 2023

Great course

创建者 Elgizouli M

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Jun 22, 2023

just amazing

创建者 Ayush V

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Jun 9, 2023

awesome!!!!!

创建者 Rohan K

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Jun 5, 2023

Great Cource

创建者 Anson O

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Jun 1, 2023

Nice course!

创建者 Faizan U I

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Jun 1, 2023

great course

创建者 Rui S

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May 14, 2023

very helpful

创建者 邓开心

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May 9, 2023

Excellent!!!

创建者 Ch V

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Apr 28, 2023

Great Course

创建者 bounphet t

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Apr 15, 2023

great course

创建者 Muhammad A R

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Apr 11, 2023

very usefull

创建者 Gautam S

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Apr 2, 2023

Great Course

创建者 Niranjana N

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Apr 1, 2023

Great course

创建者 Krish S

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Mar 18, 2023

Exceptional!

创建者 manas d

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Mar 16, 2023

very helpful

创建者 Bharath S

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Mar 7, 2023

mindblowing!

创建者 Asma E

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Mar 2, 2023

Good course.

创建者 Alireza G

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Feb 21, 2023

Great course

创建者 Dominique C

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Feb 6, 2023

just perfect

创建者 aybars d

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Jan 29, 2023

veery useful

创建者 sohan p

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Jan 25, 2023

Great course

创建者 Fady S

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Oct 13, 2022

great intro