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学生对 DeepLearning.AI 提供的 Supervised Machine Learning: Regression and Classification 的评价和反馈

4.9
31,037 个评分

课程概述

In the first course of the Machine Learning Specialization, you will: • Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. • Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression 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 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

AA

Apr 29, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

KB

Dec 6, 2024

I was completely new to Machine learning. It is an excellent course for complete beginners. Python codes are also downloadable and can be used for further reading another time. Very Very nice course!

筛选依据:

801 - Supervised Machine Learning: Regression and Classification 的 825 个评论(共 5,913 个)

创建者 Merve N M

Mar 13, 2023

Everything was explained so simply! I think this is better for sake of the majority even though I sometimes got bored of repetitive explanations as a mechanical engineering graduate. Highly recommending this course!

创建者 Thuỳ L N

Sep 9, 2024

This course provides essential basic knowledge about regression and classification. It is a very good choice to start learning ML. Encouraged to carefully read and try to understand each function in the lab options.

创建者 Jayant V

Jun 5, 2023

It is very nice course for Machine Learning Aspirants. You'll not get bored, because its a sandwich of Videos Labs and Quizzes. Which will boost your confidence by checking your knowledge. You should must go for it.

创建者 Sergio A T S

Mar 21, 2023

I am grateful for the course. I have learned a lot about Machine Learning. Now the topic seems more interesting to me, and especially since in the second course I will learn about Neural Networks. I am very excited.

创建者 Sunpreet K

Oct 25, 2022

Really liked the course. The Machine Learning concepts are explained ina crystal clear manner and explanation about any detail could be checked at the respective module. I recommend this course for future learners.

创建者 Ebrahim U

Jul 30, 2022

This course developed my skills and knowledge of Supervised Learning Algorithms using Python language, and it is a great and fun way to explain and implement. A word of thanks is not enough for this wonderful effort

创建者 Mirnajaf A

Jun 27, 2022

This course is so cool because not only it teaches the detailed concepts of Machine Learning Algorithms but also provides us with practical part with modern programming language Python which makes it extra amazing.

创建者 Tuấn N B

Jul 18, 2023

From my point of view, this course provides overall knowledge and concepts about machine learning. It also easy for beginners who don't know much about Math or Statistics. Overall, good course, worth for prices <3

创建者 Abel B

Jan 20, 2023

The training is very interesting. However, it is better to show us how to carry out the classification using python code (focus more on practice than theory and formula) rather than leave the practical as optional.

创建者 ALEX M F A

Aug 8, 2022

Bien explicado, base simple en matemico entendible para un usuario basico. El curso me ha ayudado a tener un panorama ams grande de la aplicación del algoritmos de machine learning en la industria que me desarrollo

创建者 Andrea M

Aug 5, 2022

This course was really helpful for me. I had previously studied AI and ML at University. Anyhow, it gave me a very refreshing and new point of view, which has aided me to get a clearer idea about some key concepts.

创建者 Shirshak A

Jul 2, 2022

Andrew NG is the best teacher of all time. It is because of Andrew I am so much passonate about AI and Machine Learning. I really want to mee my Guru Andrew ng and Thank him for Teaching us. Thank you andrew sir🙂

创建者 Alok k s

Oct 7, 2025

I have never thought I will enocounter this master piece course and so deep just fantastic suggestion to new comer try to code the same code by yourself it will help to visulaise how code is doing all the best

创建者 Morteza M

Nov 11, 2024

This course was absolutely perfect. I learned so much, and it even motivated me to dive deeper into the mathematics behind the algorithms. These are the best tutorials I’ve ever seen in my life. Thank you, Andrew!

创建者 Mohamed A

Nov 9, 2022

very good course. I understanded gradient descent and used it for linear regression and logistic regression. I understood the meaning of overfitting and underfitting and regularization. the labs were very helpful.

创建者 Meiliang P

Oct 9, 2022

I really enjoyed this course!!! Andrew Ng is a wonderful professor. explained things very well. and I loved the lab. apply the concepts with codes. learned a lot in this course and looking forward to the next one

创建者 Aravind S D

Aug 13, 2022

It's a refresher for me and I learnt from one of the best teachers in the world and I admire to do the same and pass the knowledge. I can't forget who taught me the best and that's Andrew ng. Thank you Andrew ng!

创建者 OM B 2

Jul 28, 2022

Excellent course!! must be taken by an AI enthusiast. The concept is explained in a clear and crisp manner. The content is organised in such a way that while going through it, we will master concepts step by step.

创建者 Freddy B

Sep 12, 2025

This is by far the best course on Supervised Machine Learning. It goes in details, and Andrew Ng takes time to explain how different algorithms work. Knowing Python, Calculus and Statistics is highly recommended.

创建者 Ranjit S

May 9, 2025

Awesome !! Prof. Andrew Nag provided a clear, simple explanation of various topics. The optional practice labs should have a tutor and tutorial videos too, as it's challenging to understand all the code yourself.

创建者 Souvik R

Oct 6, 2024

Very fundamental and great introductory course for someone outside the specialization. I hope to use the knowledge gathered during this course in characterizing various novel/alternative infrastructure materials.

创建者 Thwe T W

Jul 26, 2024

Even I am not good at coding and no background of Ai. The teaching method of Prof Ng is really perfect and easy to understand. And, making a short video with short quizz forces to improve and stuyd more and more.

创建者 Matt F

Feb 4, 2024

The course was very easy to follow. The concepts and math were also easy to follow, even for someone like myself who has spent a lifetime programming, but gets overwhelmed whenever I look at statistical formulas.

创建者 Naveen R

Dec 28, 2023

Great introduction to regression and classification with machine learning applications. The course is more accessible to those who have some background in calculus and python coding but its not a limiting factor.

创建者 Matahari R

Aug 31, 2023

Great course from Andrew and Stanford, all materials are explained clearly. even someone who is not familiar with math can take this course because Andrew abstract them and only explain the necessary one. thanks.