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：

5101 - Supervised Machine Learning: Regression and Classification 的 5125 个评论（共 5,931 个）

创建者 Andrew K

•

Aug 6, 2022

So good!

创建者 Anh T N

•

Jul 14, 2022

fantasic

创建者 Anurag A

•

Nov 6, 2025

awesome

创建者 Benjamin C

•

Aug 26, 2025

Awesome

创建者 Rashmi

•

Aug 21, 2025

Awesome

创建者 Huzaifa H

•

Jul 28, 2025

Best...

创建者 NADA B

•

Jun 26, 2025

parfait

创建者 Sujith S

•

Apr 28, 2025

amazing

创建者 MOHAMMED A Y B

•

Apr 18, 2025

Perfect

创建者 Khaled Z

•

Apr 5, 2025

perfect

创建者 Shrey J

•

Feb 22, 2025

amazing

创建者 Adria M

•

Feb 7, 2025

Amazing

创建者 Haykal A S

•

Jan 30, 2025

amazing

创建者 khan S

•

Jan 29, 2025

eminent

创建者 Collins L

•

Jan 18, 2025

Awesome

创建者 Shishir B

•

Jan 10, 2025

Awesome

创建者 Rishabh M

•

Dec 23, 2024

amazing

创建者 Rakia A S

•

Nov 16, 2024

4 Stars

创建者 rajvardhan t

•

Nov 6, 2024

quality

创建者 abolfazl c

•

Nov 3, 2024

perfect

创建者 Srijan R

•

Oct 10, 2024

amazing

创建者 Mithun G

•

Oct 4, 2024

amazing

创建者 Hridoy D M

•

Sep 26, 2024

Helpful

创建者 Emmanuel T

•

Aug 25, 2024

Amazing

创建者 Farzaneh J (

•

Aug 23, 2024

Awesome