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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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32,311 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.

MA

Jan 27, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and Coursera.

筛选依据：

2201 - Supervised Machine Learning: Regression and Classification 的 2225 个评论（共 6,083 个）

创建者 Tudor J

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Oct 27, 2022

A really great course that thaught me the magic behind machine learning. Worth the price!

创建者 Jacob S

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Sep 19, 2022

Amazing course, enough detail to understand what is going on but keeps the course moving.

创建者 Mohsen A

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Sep 13, 2022

Great detail explanation beside wonderful lab notes really help to underestand the course

创建者 Tomasz K

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Aug 12, 2022

Great course, plain explained topic, easy to follow steps. I highly recommend the course!

创建者 Mucahit S K

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May 25, 2025

Lessons are explained detailly. Lots of practices and the labs are very well established.

创建者 Shailendra

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Apr 19, 2025

superb guidance and ease of understanding complex topics highly recommended for beginners

创建者 Ananda D

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Jan 19, 2025

I started learning machine learning from this course and fall into more interest about AI

创建者 Francis X I

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Nov 4, 2024

The course is well explained and to the detail necessary to make you understand ML models

创建者 Suraj G

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Oct 21, 2024

One of the best instructor for machine learning. In depth concept with all basics covered

创建者 Muhammad Q A

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Aug 22, 2024

Brilliant Course to learn the all the basics and concepts behind Machine Learning Models!

创建者 Murshidul H

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Jul 4, 2024

very helpful to understand the basic mathematics behind the Regression. nice presentation

创建者 Amir A

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Jul 1, 2024

It's an amazing course, which gives you all the scientific background with practical labs

创建者 Misael H C

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Jun 21, 2024

The best teacher in the entire world, one day I am sure I'll meet him, wait for that day.

创建者 Bharat K

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Jul 7, 2023

Really nice course, understood each and every concept right from scratch to the advanced.

创建者 Chanakya D C | A

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Jun 20, 2023

The course was well taught and easy to understand even for beginners I really enjoyed it

创建者 Guillermo V

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May 8, 2023

Great introduction course, touching all the bases with even a bit of depth on the matter.

创建者 Shangxuan L

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Apr 24, 2023

It uses a rather clear way to impart the most important concepts about machine learning!

创建者 Muhammad S

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Mar 24, 2023

A very good introduction to machine learning. Concise and easy to understand explanations

创建者 Yiyi W L

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Jan 8, 2023

I really enjoy this course and I do learn a lot about regression and classification model

创建者 Shakeel A

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Jan 3, 2023

A well-structured course for any Machine Learning enthusiast, taught by an industry icon.

创建者 satyam d

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Dec 26, 2022

This course gives the indepth understanding of how these ML libraries work in very depth.

创建者 Daniel B

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Dec 23, 2022

Best ML course on the planet! Thank you all and also the community forum is very helpful.

创建者 Vivek C

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Nov 7, 2022

its good for freshers and a must try and believe me it has good clarity on basic concepts

创建者 Pâmella V G F

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Oct 15, 2022

Excelente curso, incrível aprender na pratica sobre machine learning, estou muito feliz!