Chevron Left
返回到 Advanced Learning Algorithms

学生对 DeepLearning.AI 提供的 Advanced Learning Algorithms 的评价和反馈

4.9
星
8,419 个评分

课程概述

In the second course of the Machine Learning Specialization, you will: • Build and train a neural network with TensorFlow to perform multi-class classification • Apply best practices for machine learning development so that your models generalize to data and tasks in the real world • Build and use decision trees and tree ensemble methods, including random forests and boosted trees 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 theoretical 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

DG

Apr 14, 2023

Extremely educational with great examples. Helpful to know Python beforehand or the syntax will become a time sync, and understanding the mathematics as going through the class makes it a decent pace.

SB

Nov 6, 2022

This course is a brief but thorough introduction. It has a good mixture of theory and practice.Andrew Ng explains every thing very good, understandable and in a fun way.I highly recommend this class!

筛选依据：

801 - Advanced Learning Algorithms 的 825 个评论（共 1,269 个）

创建者 Yuvraj J

•

May 10, 2023

Best course for machine learning

创建者 Justin H

•

Feb 27, 2023

Andrew Ng. The man. The legend.

创建者 Nada S A K

•

Feb 7, 2023

Andrew's explanation is amazing!

创建者 Prathamesh K

•

Oct 20, 2022

One of the best course to study

创建者 Francesco D

•

Aug 17, 2025

Excellent learning experience !

创建者 Hadar D S (

•

Jul 31, 2024

Very important and well-taught!

创建者 Rolando R Z C

•

Apr 25, 2024

Very carefully designed course.

创建者 Debasis N

•

Feb 24, 2024

Thanks Everyone, Thanks Andrew!

创建者 Sathiyalokeswaran L

•

Sep 27, 2023

I learnt a lot from this course

创建者 Afdoni P S

•

Apr 10, 2023

yoyoyooyoy so cool Mr.Andrew NG

创建者 Margaret O

•

Nov 28, 2022

It was tough but worth the time

创建者 Vedanga G

•

Oct 21, 2025

Excellent course for beginners

创建者 Venkat S

•

Aug 19, 2025

Enjoyed The Course and Content

创建者 Sandeep M

•

Oct 1, 2024

Excellent in form and content.

创建者 Chitra M G 2

•

Sep 2, 2024

understandable .. good classes

创建者 ilyes k

•

Aug 3, 2024

One of the best courses I take

创建者 Dakshesh H

•

Jul 25, 2024

Excellent Course for Beginners

创建者 Vignesh B

•

Jan 16, 2024

Excellent course for beginners

创建者 Mohammadreza G

•

Nov 26, 2023

An excellent and usable course

创建者 Arash S

•

Oct 26, 2023

It was awesome for me . Thanks

创建者 Surendra K S

•

Oct 13, 2023

Excellent course for beginners

创建者 Omer S

•

Jan 14, 2023

Great course. I learned a lot.

创建者 Saeedanwar M

•

Sep 13, 2022

i love the way they tought me

创建者 Krrish R

•

Mar 21, 2025

Thanks for giving me a chance