Name: Advanced Learning Algorithms
Brand: DeepLearning.AI
Availability: OnlineOnly
Rating: 4.9 (1287 reviews)

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

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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....

1251 - Advanced Learning Algorithms 的 1275 个评论（共 1,288 个）

创建者 Kunal S

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Jan 5, 2024

Andrew sir is phenomenal only concern is lagging of labs

创建者 Ahmad R

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Aug 11, 2023

More MCQs and More assignments would be of more help.

创建者 Hosein F

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Oct 24, 2022

Better than the first course because of more topics

创建者 Rajib M

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Feb 3, 2024

More quizzes can be added during the video

创建者 Raayan D

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Jun 2, 2023

Decent introduction, hand-wavy at times

创建者 Mohamed S

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Apr 8, 2023

I need more projects to practice on it

创建者 Vedant J

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Apr 15, 2023

less coding part in videos of week 4

创建者 Thota R

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Sep 5, 2024

Very Useful But only theoretical

创建者 Mohsin S

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Jan 16, 2023

good course for machine learning

创建者 Arpit G

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Jun 9, 2024

try to inclube more math

创建者 NITHIN S

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Dec 9, 2025

Well-structured course

创建者 Nan X

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Nov 7, 2023

Bugs in assignment

创建者 massimiliano t

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Apr 19, 2023

Nice course for ML

创建者 tijani r

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Oct 9, 2024

Great course

创建者 Rajeev T

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Nov 4, 2022

Much Thanks

创建者 Huỳnh T T

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Jul 17, 2023

Great!

创建者 Putri A A

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Apr 15, 2024

good

创建者 ATHARV S (

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Nov 7, 2022

good

创建者 Mark R

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Mar 31, 2025

Good course. Had an issue with the last lab... tried to get help however none available. IMHO this was very frustrating indeed to the extent I will drop this course completely.

创建者 Ali F

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Aug 5, 2023

The NN explanation was very bad. I think Andrej Karpathy did a much better job at doing that. I actually watched that first and then this course and it made lots of sense to me.