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

4.9
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:

476 - Advanced Learning Algorithms 的 500 个评论(共 1,269 个)

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

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..

创建者 Ankit P

Aug 21, 2022

Its the best course. I just loved and enjoyed so much throughout the course.

创建者 Sobhan A

Aug 21, 2022

Thanks Andrew for this great education. It was so helpful and also practical

创建者 Harshad B

Aug 16, 2025

the course is really good and it teaches algorithms better than some books

创建者 Johanna D A

Aug 19, 2023

The course is excellent, and the professor is the best. A thousand thanks.

创建者 Vivian S

Jul 24, 2023

Simply excellent! I would only ask for more programming labs and training.