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
8,607 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

AA

Dec 29, 2024

The course provides an excellent introduction to widely used machine learning concepts, including Neural Networks. While the material can be challenging, it is presented in a digestible manner.

MN

Jul 29, 2023

Another fantastic course by Andrew Ng! He covers neural networks, decision trees, random forest, and XGBoost models really well. I like that he shares his intuition behind every concept he explains.

筛选依据：

476 - Advanced Learning Algorithms 的 500 个评论（共 1,290 个）

创建者 Kaleta K

•

Apr 11, 2024

He's such an awesome teacher. Teachers make ALL the difference. Thank you so much!

创建者 isitha d

•

Mar 26, 2024

A great course which explains very clearly. Helped me to learn a lot as a beginner

创建者 Sal T

•

Sep 10, 2024

Stright forward, and very useful content. Fantastic for a practical introduction.

创建者 Omid M

•

Jul 12, 2023

I'm really excited about living in 2023 and being able to learn machine learning.

创建者 Ahmed M M E

•

Jun 6, 2023

An easy-to-follow introduction to a lot of important concepts in machine learning

创建者 Navin D

•

Oct 8, 2022

Heartliest regards to Andrew NG such a great style of developing the community.

创建者 Nimesh K

•

Nov 16, 2025

This is a very good course on neural networks and decision trees for beginners.

创建者 Tasnimur R

•

Mar 13, 2025

A very good course to improve your basics about the advanced learning algorithm

创建者 Howard L

•

Jan 18, 2025

great series as the previous one, would love to see more in-depth lab practices

创建者 فائزه م

•

Aug 15, 2024

thanks all people who tried to generate this awesome course specially Andrew NG

创建者 Gustavo B

•

Jun 25, 2024

Excellent! Very well designed and produced. Up to date and extremelly relevant.

创建者 Jesus A A O

•

May 9, 2023

Excellent course to understand concepts of NN and other algorithms like XGBoot.

创建者 Pietro P

•

Nov 21, 2022

I always follow with great pleasure the guru Andrew, I enjoy learning from you!

创建者 Samar

•

Sep 23, 2025

Loved the course, super helpful. Thank you so much Professor Andrew and team!!

创建者 Fatemeh M

•

Nov 27, 2023

That is really good course .It give us the view of structure of ML algorithm.

创建者 SAMPRETH S

•

Nov 11, 2022

excellent course with insights on practical implementation of machine learning

创建者 yraion0

•

Sep 26, 2022

That's amazing course with exceptional materials and laboratory explanations.

创建者 Sana U A

•

Sep 18, 2025

i have learnt alot from this course and i love the teaching style of Andre Ng

创建者 Aryan D

•

Jun 2, 2024

Excellent course by Mr Andrew looking forward to apply these skills in future

创建者 Ahmad W

•

Jan 9, 2024

Very well structure and organized. Really parallels with real-life uses of ML

创建者 Alexandre C

•

Oct 16, 2023

Great to have a basic understanding of Neural Nets and tree-based algorithms.

创建者 Alex Y

•

Jun 3, 2023

A little more challenging than the 1st course, but very well done nonetheless

创建者 Syed M S

•

May 28, 2023

Its a course worth taking. Continuous learning, a refresher. Next to perfect!

创建者 Kamurasi J A

•

Aug 11, 2024

Capture of basic, fundamental concepts, Recommended for intuitive learning.

创建者 Pasindu B

•

Dec 16, 2023

If you want to be a machine learning engineer, you must follow this course..