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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!

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351 - Advanced Learning Algorithms 的 375 个评论(共 1,265 个)

创建者 siddharth m

Jan 27, 2025

Lucid explanations by the Mr. Andrew with the added benefit of self paced learning make the course very enjoyable.

创建者 Nicholas S

Jan 23, 2024

The course is informative and easy to follow, building on the material covered in the supervision learning course.

创建者 Mironov V

Nov 25, 2023

I would like more examples and practical tasks on convolutional neural networks, but otherwise the course is good.

创建者 Juan S G V

Oct 11, 2023

Un curso especializado muy completo. El profesor es muy dinámico y tiene una excelente manera de hacerse entender.

创建者 Yu K

Oct 6, 2023

super useful course for those who wants to gain some bascis knowledges about the neural network and decision trees

创建者 Pedro J S L

Aug 20, 2024

Excellent course for learning the basics of Machine Learning. Very well explained and with comprehensive examples

创建者 Duc G

Apr 29, 2023

Can't explain how important this course to me :D. Keep updating the good work. Many will need it in the future :D

创建者 Gaurav M

Dec 31, 2023

really organized course, great teaching style, But in decision tree I struggled getting intuition about entropy.

创建者 Mobin V

Sep 9, 2023

Simple language, Great labs, Good path.

This course is actually a Great Way to Learn Machine Learning Algorithms.

创建者 Umar R

Oct 19, 2024

This is very good, introduce me about neural network, the lecturer knows how to teach and provide the subjects.

创建者 Mark R

Jun 4, 2024

Loved this course! It provided a deep understanding of the subject with practical examples. Worth every minute!

创建者 Pasindu S

Dec 24, 2022

The way Andrew is teaching is superb. This course helps me to learn concepts in machine learning easily. Thanks

创建者 Veronika S

Mar 6, 2023

'Advanced Learning Algorithms' course is right start for those who want to dive into AI Neural Networks ocean.

创建者 Kim A

Aug 22, 2022

Best for people who want to get their hand on ML. Very practical but at the same time, mathematically detailed

创建者 Roy M

Aug 7, 2022

great video instruction and the labs are quite challenging but are excellent for putting theory into practice.

创建者 Utpoul K M

Dec 4, 2023

I immensely appreciate the way Prof. Andrew Ng teaches! I adore every classes and labs curricular activities!

创建者 Ahmad V

May 24, 2023

great course with simple teaching methods that make your foundation strong in machine learning specialization

创建者 Tianyue P

May 14, 2023

This course is an extraordinary introduction to deep learning, and gives very detailed explanation throughout

创建者 Ape M

Nov 15, 2024

It is the best course on the topic out there! I just finished and I am ready to push embark on some projects

创建者 Narawish K

Jun 27, 2023

Explaing complex things into easy things. Still the best course for explaining machine learning from scratch

创建者 YBH

Jun 19, 2023

the course is interesting and easy to learn,but i think something too simple,like decision trees and XGBoost

创建者 Yusuf Y

Aug 3, 2023

Absolutely worth taking and spending time I have learned so many things so far. I am really happy about it.

创建者 Fatemeh B

Mar 22, 2023

Some of the exercises were too boring. But the videos were awesome! Thanks a lot for this brilliant course.

创建者 Sohrab M

Dec 25, 2022

I think for most of the time that I've learned this course, I experienced something new. Thanks to you all.

创建者 Ayush D

Jul 26, 2022

A great course to start your journey into the fields of Deep Learning , Neural Networks and Decision Trees.