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
31,265 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

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.

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!!

筛选依据：

4926 - Supervised Machine Learning: Regression and Classification 的 4950 个评论（共 5,920 个）

创建者 Michał D

•

May 15, 2024

Very good!

创建者 DaxoWiz '

•

May 9, 2024

Magnifique

创建者 An N K

•

Mar 17, 2024

Meaningful

创建者 Parsa N

•

Mar 6, 2024

I love it!

创建者 Ahmed A

•

Feb 3, 2024

I love it!

创建者 mojtabacode

•

Feb 1, 2024

excellent.

创建者 Zakaria F

•

Dec 29, 2023

impressive

创建者 Priyanshu P

•

Dec 26, 2023

Amazing!!!

创建者 Szu-Yao C

•

Dec 19, 2023

Must Have!

创建者 Claudio M A

•

Aug 16, 2023

Excellente

创建者 Bernard A

•

Jul 31, 2023

The best !

创建者 Abdul K

•

Jul 16, 2023

just great

创建者 Pouria S P

•

Jul 16, 2023

perfectily

创建者 Austing D

•

Apr 23, 2023

Fantastic!

创建者 Tomas B F A

•

Apr 6, 2023

Excellent!

创建者 David D Z

•

Mar 18, 2023

Phenomenal

创建者 Md. N S

•

Mar 18, 2023

Excellent.

创建者 Qaiser A

•

Mar 17, 2023

VERY GREAT

创建者 Hamza A

•

Mar 2, 2023

Satisfied!

创建者 Xueqi W

•

Jan 3, 2023

Thank you!

创建者 lily h

•

Jan 2, 2023

excellent.

创建者 yuzhuobai

•

Nov 26, 2022

Thank you!

创建者 Pavan k C N

•

Oct 14, 2022

very good

创建者 Shanaaz A

•

Sep 30, 2022

Amazing!!

创建者 PEDRO M A D O

•

Aug 21, 2022

Fantastic!