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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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31,343 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....

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.

筛选依据：

2301 - Supervised Machine Learning: Regression and Classification 的 2325 个评论（共 5,937 个）

创建者 Shao J

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Oct 23, 2023

Thank you for using it in the simplest way that even a fool like me can understand.

创建者 Humberto d S

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Sep 20, 2023

Excelente didática, explicações claras e objetivas. Notebooks muito bem detalhados.

创建者 George D

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Aug 7, 2023

Andrew Ng is a phenomenal teacher and made this course very enjoyable and valuable.

创建者 Mehis P

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Jul 23, 2023

Wonderful introduction to machine learning. And the final test lab is quite tricky!

创建者 Mohammadreza H

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Oct 29, 2022

Fantastic, this is just the right course for diving into the machine learning area.

创建者 Amit S

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Sep 18, 2022

Amazingly structured course. Optimum theories and practice exercises are included.

创建者 Rita B V

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Sep 15, 2022

I am a biologist, and mathematics is difficult, but really understable. Thank you.

创建者 Soham M

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Sep 12, 2022

im sooo happy and i feel so accomplished, although i have much more distance to go

创建者 Meet S

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Dec 18, 2024

Smooth Delivery by Andrew, Interesting assignments and very helpful optional labs.

创建者 Sahil P

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Dec 9, 2024

it was a perfect to the point course I learned a lot from this course thanks a lot

创建者 Ricardo I l D

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Aug 15, 2024

Excellent material, and goes through different knowledge and specialization levels

创建者 Goutam M

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Jun 19, 2024

This Course was Excellent for someone just entering the world of Machine Learning.

创建者 Achal A

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Apr 26, 2024

Very Informative and good teaching. Wish the coding assignments were a bit harder.

创建者 Thulina W

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Mar 31, 2024

Helps to understand the fundamentals of ML algorithms by coding them from scratch.

创建者 Ramiro L C

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Mar 1, 2024

The course was great, I'm going to watch it more than once to understand it deeply

创建者 Rüstəm A

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Feb 19, 2024

It was an amazing course. Really helpful, explanations were really clear and vivid

创建者 Santiago P

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Feb 12, 2024

Amazing contents. AI Foundations well explained. Andrew and his team are the best.

创建者 Fowzaan A R R

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Sep 28, 2023

Great course for beginners and for those who want a brief overview of what ML is .

创建者 Danus D

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Aug 28, 2023

The course is really very useful!. The labs are very efficient source to practice.

创建者 Lekha M

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Jul 31, 2023

Amazing course by Andrew Ng and team. The visuals in this course are mind blowing.

创建者 Lingyi Y

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Jul 28, 2023

Classic course for the topic - in-depth explanation and good visual interpretation

创建者 Bikram k

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Jun 5, 2023

It was great course for beginners who are enthusiastic to learn Machine Learning .

创建者 M1 H

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Jun 2, 2023

It's so good for every beginner in machine learning.

easy to understand and follow.

创建者 François R C S

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May 14, 2023

Excellent course, even more so under the light of mathematics learned decades ago.

创建者 brsabini g

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May 6, 2023

Highly recommended.

Basic knowledge in statistics and Python programming is helpful