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

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31,304 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

ED

Apr 13, 2025

Loved Andrew Ng's videos and the hands on Jupyter notebook labs! My understanding of ML has significantly improved thanks to this course and going on to the next course to complete ML specialization!!

JG

Apr 26, 2024

Es un curso diferente a los de regresión y clasificación donde solo se enfocan en aplicar los algoritmos de Scikit-learn. El profesor Andrew le da un enfoque profundo al detrás que hay en cada modelo.

筛选依据：

1851 - Supervised Machine Learning: Regression and Classification 的 1875 个评论（共 5,933 个）

创建者 Rubén G

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Mar 17, 2023

Thank you very much to all of you from the bottom of my heart!

This was the best course I ever had, by far.

创建者 Lakshya S

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Feb 6, 2023

All the labs make the course very interactive and makes it easier for a student to understand the concepts

创建者 Sachin T

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Dec 15, 2022

Amazing Course!! Optional Labs are real learning add-ons, one must complete to get thorough understanding.

创建者 Steven

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Aug 16, 2022

Detail and clear. There are lots of tips shared by Andrew Ng, which are quite useful in real applications.

创建者 Manuela F

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Aug 4, 2025

cours tres interressant j'ai enormement appris. des tiips de base pour faire dumachine learning excellent

创建者 sarthak s

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Jun 7, 2025

It was an amazing course i loved each and every aspect of my learning the lab assignments were fun to do.

创建者 Antonione P

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May 13, 2025

The course is very good, it was a great complement to what I learned in the professional Master's degree.

创建者 Emre K

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Mar 19, 2025

The course is so well-prepared and extremely taughtful that I can be in a fear in case I miss some parts.

创建者 Ashish D

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Mar 7, 2024

Great Course! All optional labs are a must to get a practical knowledge of implementing these algorithms.

创建者 Julia N

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Feb 26, 2024

I really liked how the course implemented mathematical, yet easy to understand, background of the models.

创建者 Guilherme A B L

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Dec 16, 2023

Andrew NG is just an amazing instructor. The course is very well structured and allow you to really learn

创建者 sameer k

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Sep 6, 2023

I learned a lot from this course. There was very handy and interesting plots I played with during course.

创建者 Sayed M

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Aug 21, 2023

Very best Andrew ng teaching method is amazing. And also the course is very intresting and very important

创建者 Abhishek K

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Jun 27, 2023

Amazing lectures that are short and crisp for better understanding along with well thought out tutorials.

创建者 Nivantha M

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Jun 16, 2023

It was really well thought out course. Really enjoyed doing this course. Looking forward to the next one.

创建者 YI-CHUNG C

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Jun 8, 2023

Easy to understand the contents. But it will be better if there are more practice labs instead of quizzes

创建者 Max G N R

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Apr 24, 2023

I can only recommend this training. One inspiring and enjoyable way to learn more about Machine Learning.

创建者 Nishshanka L A

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Apr 15, 2023

I have a dream to be a data scientist. This course will be good investment to achieve my future ambition.

创建者 Jose

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Feb 18, 2023

Loved the course. Ramped up pretty quickly but very well explained with enough opportunities to practice.

创建者 sary n

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Nov 10, 2022

Great course to break through machine learning and learn the intuition and maths behind these algorithms.

创建者 Noel P

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Nov 9, 2022

The basics were very well taught and I gained hands-on experience coding the concepts learnt in the labs.

创建者 Aniket s

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Aug 19, 2022

One of the best course to get introduced to the field of Machine Learning and get a idea about the course

创建者 Cyrus C

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Aug 10, 2022

Brilliant course, really helps to get under the hood of the subject and Andrew Ng is an amazing teacher.

创建者 Federico C

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Aug 8, 2022

Probably too simple in certain aspects. For a completely new entry in ML themes this is a perfect course.

创建者 Julien L

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Jul 15, 2022

I learned so much ! The jupyter notebooks and the visualizations included in each of them is pure gold !