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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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32,311 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

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.

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.

筛选依据：

1926 - Supervised Machine Learning: Regression and Classification 的 1950 个评论（共 6,083 个）

创建者 Rakesh S

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Mar 11, 2023

A must-have-done course if you are new to machine learning. Loved the way Andrew NG clears the concepts.

创建者 Andrea T

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Jan 18, 2023

I could learn so much from the optional material. Thank you so much for your excellent teaching, Andrew.

创建者 Lawrence C

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Dec 18, 2022

The class is well designed. Each video and lab explains in detail how the formula is applied. Thank You.

创建者 Marcus B

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Oct 30, 2022

Curso maravilhoso, nos mostra os principais conceitos e deixa claro como é aplicado por trás dos panos.

创建者 Javier H

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Aug 21, 2022

The best of the best! truly recommended course, Andrew NG is amazing to explain the most basic concepts.

创建者 Abdullah M

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Oct 19, 2025

The professor is teaching great and timely quizes helps me to get better and better viewing my progress

创建者 Vidal A G L

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Sep 22, 2025

Very good way to start with ML concepts without the need for previous knowledge and/or high math skills

创建者 Eduardo

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Jul 25, 2025

A perfect balance of theorical and practical aspects of machine learning. Andrew NG expalins very well.

创建者 Tanaka K N

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Jan 27, 2025

Great course to understand the underlying mathematical concepts behind linear and classification models

创建者 Mohammed S S

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Jan 26, 2025

Andrew Ng is a great tutor, his examples and PPT helped alot as i continued my learning. Thanks alot!!!

创建者 bathula k

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Dec 11, 2024

there are a few little things that didn't get into my brain , but overall its a great to learn from you

创建者 Armin R

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Jul 23, 2024

Andrew is a great instructor who effectively introduces key concepts with good examples in this course.

创建者 Manoj K V

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Jul 1, 2024

Great in-depth understanding of 'How actually ML models are built? And how do they work and their need'

创建者 Zuhaib H

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Apr 21, 2024

Amazing course, great content, beginner friendly lectures and labs and assignments. Highly recommended!

创建者 Margot V

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Mar 10, 2024

Great course! A solid mix of model theory, math rationales and coding practice. Very beginner-friendly.

创建者 Blade

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Nov 26, 2023

I am very appreciative of your great explanation, and I'm looking to finishing the rest of your courses

创建者 Abhilash A

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Nov 7, 2023

Excellent course!! Worth investing your time. Thanks Andrew Ng for articulating the concepts so well :)

创建者 Matthew D

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Sep 11, 2023

Material was well structured and easy to follow. Doesn't assume any prior Python or Calculus knowledge.

创建者 Abdul S K

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Sep 7, 2023

One of the best courses in Supervised Machine Learning so Far. Teaching pure fundamentals from scratch.

创建者 Sarwari M

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Jul 12, 2023

His teachings and explanations are wonderful, easy to understand and very engaging. Loved the course!!!

创建者 Ha T

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Jun 27, 2023

very good instructors Andrew, simple explanations with comprehensive view to bridge to Machine Learning

创建者 Mohammadali S

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Jun 16, 2023

Good course for starting machine learning and obtain a perspective about regression and classification.

创建者 Sai p M

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May 19, 2023

It was an excellent course to learn. This was the best course I have ever taken. Wonderful teaching way

创建者 MD. R H M

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Apr 2, 2023

For Beginner to Mid-level Experts - Theory (5/5)

Prof. Andrew Ng's Presentation of the Topics - AWESOME!