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

4.9
8,311 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.

MA

Jun 21, 2025

The course is well crafted and enriched with deep learning and ensemble tree knowledge. Practice labs add strength to the development of skills. Overall good learning experience under sir Andrew NG.

筛选依据:

301 - Advanced Learning Algorithms 的 325 个评论(共 1,242 个)

创建者 Yash S

Sep 11, 2023

The course may seem too much initially but it is worth it. I don't think the topics can be taught any better! Thank you Andrew

创建者 Sandile T

Jul 27, 2023

Learning Advanced Learning Algorithms at a scientific level, from the subject matter expert, coupled with real life projects.

创建者 Swapnil D

Apr 28, 2023

superb experience to learn this course with Andrew NG, He really explains the concept in simple terms. Enjoyed learning a lot.

创建者 Veljko V

Feb 28, 2023

Excellent course. Gives great insight into neural networks and XGB which are extremely important in ML. Would highly recommend

创建者 Abhijit C

Jan 17, 2023

Explanations are very good and well structured. I am a beginner in this domain, yet I was able to understand all the lectures.

创建者 Mahdieh E

Sep 8, 2022

Thanks to this very helpful and useful course, I believe I have a good understanding of Neural networks and how they fonction.

创建者 Nguyen C C

Nov 19, 2024

complex is made simple , easy to learn. Practice lab help fortify knowledge. The conversation with Andrew is very insightful.

创建者 Afrina A

Aug 7, 2024

Course was kinda theoretical , practicall application of the knowledges obtained if instructed with project would be helpful

创建者 Ajay Y

Mar 13, 2024

I learned a lot of new things. This course is very beneficial to whom that wants to learn the machine learning from scratch .

创建者 HIMANSHU L

Mar 26, 2023

Excellently designed course. Greatly curated content and great and easy to understand way of delivery. Thank you. Keep it up.

创建者 Junaid T

Oct 29, 2022

Fantastic Course I would recommend it to anybody, it has truly broadend my horizons 100% with regards to Deep Learning and ML

创建者 Saif U R

Sep 12, 2022

Wonderful course. Prof. Andrew makes everything very easy to understand while having some fun. See you in the third course.

创建者 Sri K

Jul 21, 2025

The course gives you enough confidence to start your ventures in deep learning. You can now go beyond linear regression. :)

创建者 Emmanuel C

Mar 6, 2024

Great course, the explanations were well articulated and helped me gain deeper understanding of how machine learning works.

创建者 Hunain A

Sep 26, 2022

It was a bit tough, but thankfully the instructions and lab work helped in giving a thorough explanation and understanding

创建者 Srinath J

Dec 28, 2024

thank you Andrew for al the great work that you do and the way you give back is your wonderful great karma and great deeds

创建者 Hamza Z

Jul 21, 2024

A beginner friendly course part of machine learning specialization to gain insights to key algorithms in machine learning.

创建者 Ricardo F d B

Jun 5, 2023

Excellent course. Prof. Ng is very clear in his expositions, with great material to support the course. Highly recommended

创建者 Jose C

Sep 27, 2022

Amazing course! Extremly usefull not only for beginners but for those who already know to code but want to learn about IA

创建者 Sam O T

Mar 25, 2024

The right mix of technical and non-technical information. The introduction of not-so-easy theoretical concepts is gentle.

创建者 Vahid H

Aug 5, 2022

This course is awesome. Why? Because it is very simple but at the same time is complete and to the point. Thanks Andrew.

创建者 Abubakar A

Aug 8, 2024

i just love the content and the occasional jokes thrown into the lectures. Learned alot and enjoyes every moment of it.

创建者 Amith V

Jan 30, 2024

Loved the teaching by instructor never made me feel like i dont know anything thank you sir and the team for this course

创建者 Atharv P

Oct 29, 2023

This course has helped me to get a deep understanding of neural networks as well as various machine learning algorithms.

创建者 Shiva K

Jan 5, 2023

Seriously good but need more math content. Prof Andrew Ng, please include more math derivations and advanced math stuff.