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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:

501 - Advanced Learning Algorithms 的 525 个评论(共 1,243 个)

创建者 Abhay C

Nov 25, 2024

Great course material and explanation combined with practical exercises

创建者 YUCHEN O

Apr 9, 2023

Very well-structured courses which is easily understandable for newbies

创建者 Dominique C

Mar 24, 2023

excellent course, complete, with Andrew Ng still as a pedagogue. THANKS

创建者 Bardiya R

Mar 6, 2023

the course gave me a real intuition about what the Machine learning is.

创建者 Noël H

Oct 9, 2022

A well-made course with concrete examples to go along with the theory.

创建者 Varun D

Aug 24, 2025

Maybe it would be better if there was a good hands on project as well.

创建者 Krzysztof W

Aug 4, 2025

The theory is well explained, but more practical exercises are missing

创建者 Jash D

May 7, 2025

best course helped me a lot from code to theory to practical knowledge

创建者 Khurram U

Jan 23, 2024

Very good learning experience, nicely designed and perfectly explained

创建者 Atarud S

Dec 29, 2022

Amazing experience and the best thing is that it lifts from root level

创建者 Haykal A S

Feb 16, 2025

very helpful and easy to understand (hopefully easy to implement too)

创建者 Sajjad R K

Dec 30, 2022

Thanks to Andrew NG, other instructors, and Coursera, it was perfect.

创建者 Aman K S

Dec 3, 2023

Groundbreaking Fundamental Concepts, with enough practice materials.

创建者 Sudip S C

Aug 2, 2022

No superlative is eufficient for Dr Andrew Ng's instruction. Bravo!

创建者 Abhishek M

Jul 20, 2023

Great Experience! Got to learn Deep Learning in a very good manner!

创建者 mahmud r

Jul 2, 2023

Thanks Andrew Ng to present such a great course. Highly recommended

创建者 Mat F

Jan 11, 2025

Easy to follow and very accessible, even without a deep background

创建者 Aditya K

Oct 2, 2024

Good enough to ignite a person's curiosity about machine learning.

创建者 Seniru D

Dec 13, 2023

This course taught me about neural networks with a very good depth

创建者 harshith k

Jun 21, 2023

It was an amazing experience and content is very good and standard

创建者 Manos P

Sep 6, 2022

Excelent understanding, needs more programming examples, exercises

创建者 Javier M

Aug 30, 2022

Excelent contents and instructor's explanations and labs practice.

创建者 Juan L

Jul 27, 2023

I feel like the first part complement very well this second part.

创建者 Amro M

Jul 15, 2023

Special thanks to you Prof. Andrew and your team. I learned a lot

创建者 Nelu R

Oct 7, 2025

A comprehensive introductory course in ML algorithms and coding.