Chevron Left
返回到 Supervised Machine Learning: Regression and Classification

学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
星
31,304 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

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!!

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

筛选依据：

1901 - Supervised Machine Learning: Regression and Classification 的 1925 个评论（共 5,932 个）

创建者 Margot V

•

Mar 10, 2024

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

创建者 Blade

•

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

•

Nov 7, 2023

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

创建者 Matthew D

•

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

•

Sep 7, 2023

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

创建者 Sarwari M

•

Jul 12, 2023

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

创建者 Ha T

•

Jun 27, 2023

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

创建者 Mohammadali S

•

Jun 16, 2023

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

创建者 Sai p M

•

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

•

Apr 2, 2023

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

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

创建者 Michelle H

•

Jan 7, 2023

This was a great course and the Jupyter Notebooks really help you to make sure you understand the math.

创建者 Deekshith L

•

Dec 13, 2022

Thankyou sir for providing me financial aid , This course provided me basic knowledge and idea about ML

创建者 Mohammad S

•

Aug 9, 2022

It's a really authorotive course that I have ever seen. Thanks all team are made a bade to this course.

创建者 Lucas M C M

•

Oct 22, 2025

Professor excepcional e conteúdo perfeito... Estou impressionado com a qualidade dessa especialização.

创建者 Diar S

•

Dec 30, 2024

Fantastic explanations, easy to follow, great examples and interactive labs made it very fun to learn!

创建者 Sarah W

•

Dec 2, 2024

A clear and perfect course for beginners, even if we've never typed a single line of code in our life!

创建者 YASHI P

•

Sep 1, 2024

Andrew ng teaches excellently with a focus on explaining things rather than leaving it for mugging up.

创建者 Fernando M

•

Aug 29, 2024

Great course, great teacher. A clear introduction to a complex subject with focus on an easy approach.

创建者 Mark R

•

Jun 4, 2024

Fantastic course! The content was well-structured and the explanations were clear. Highly recommended!

创建者 Aung K

•

Mar 22, 2024

great course for everyone passionate about AI and ML, Thanks all for your great effort in this course.

创建者 Kamalpreet S

•

Jan 20, 2024

Great Course-But would love it even more if more of the Machine Learning Algorithms are included in it

创建者 GODARD K

•

Nov 16, 2023

Great Course, Andrew is a really good teacher. Thank you for sharing such a good educational content !

创建者 Maher A

•

Oct 15, 2023

Excellent very easy introduction to machine learning. Andrew Ng is an amazing instructor and Scientist

创建者 Michelle F

•

Sep 14, 2023

The course was very structured and the instructor is very knowledgeable and loved his way of teaching.