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

4.9
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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：

426 - Advanced Learning Algorithms 的 450 个评论（共 1,290 个）

创建者 Pastor S

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Sep 5, 2022

Amazing course that allow to understand what's going on behind the scenes of ML algorithms

创建者 Kizmaz E

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Aug 12, 2022

This course provided me to learn machine learning algorithms in depth. Thanks for everyone.

创建者 Chris O

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Oct 30, 2023

I really enjoyed the course. It breaks things down to the minimum needed for understanding

创建者 Giancarlo P

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Dec 14, 2022

The instructor goes straight to the point. The labs are so helpful. This course is awesome

创建者 Rahul R

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Aug 19, 2022

Felt like week 4 could've used some optional labs. But other than that, an amazing course!

创建者 P c

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May 4, 2025

very good course , useful . taught in a very intuitive way with lots of positive energy .

创建者 Hooman A

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Dec 9, 2024

Amazing! Loved how fundemental you learn these concepts. def would be useful for later on

创建者 Chong W

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Jul 26, 2024

Andrew is a great educator on this topic. The course is clear, concise, and to the point.

创建者 Aditya K B

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Jul 16, 2024

It was a wonderful experience learning these Algorithms with Andrew Ng!! Thanks so much!

创建者 Nishshanka L A

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Aug 10, 2023

I learned basic Deep learning concepts and usages and every basic stuff from this course.

创建者 Manas B

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Apr 10, 2023

Thank you Andrew Sir for providing such a good and informative course. Thank you so much.

创建者 Ivan K

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Dec 5, 2022

Great material - easy to follow and with everything explained. Andrew is beyond praise :)

创建者 Abishek S

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Nov 17, 2022

I loved the way the course is designed. Please include little bit details around xgboost.

创建者 杨天奇

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Mar 10, 2025

There are many rich examples for beginners to understand how algorithms are implemented.

创建者 Karthik P

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May 18, 2024

You can't find a better introductory machine learning course than this , anywhere online

创建者 Khaled M

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Aug 30, 2023

Amazing I know have a good idea about neral networks and decission trees implementatioin

创建者 Nicholas J F

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Jun 26, 2023

Awesome. The Interactive Jupyter Notebooks are a notch above in the instructional realm.

创建者 Anas S

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Feb 11, 2023

Thank you very much for this course, it is really very useful and enrich of information.

创建者 MANE S

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Feb 28, 2026

It really made me understand Advanced Algorithms of ML quickly with real world problems

创建者 maryam m

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Nov 3, 2025

Thank you so much. I learnt so much and also enjoyed this coure.100/10 recommending it.

创建者 Ardinc E

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Apr 29, 2025

The polynomial regression part was the best I were be able to follow. Thank you indeed!

创建者 Milan P

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Dec 2, 2024

best course with deep knowledge of advances learning algorithm including neural network

创建者 Loh N E A

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Sep 4, 2023

very informative, concepts broken down into bite sized pieces, very easy to understand.

创建者 Gopal R

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Jun 4, 2023

Advanced learning algorithms in ML with well structured and easy to understand modules.