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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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31,265 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

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.

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!!

筛选依据：

4501 - Supervised Machine Learning: Regression and Classification 的 4525 个评论（共 5,920 个）

创建者 Kavya L

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Oct 7, 2024

very informative

创建者 Aryan S

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Oct 3, 2024

amazing concepts

创建者 Deep G

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Sep 22, 2024

Very good course

创建者 Ridmika.K.H

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Sep 22, 2024

Brilliant course

创建者 amirreza k

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Sep 16, 2024

Extremely useful

创建者 Prajwal A

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Sep 14, 2024

very good course

创建者 NAVJOT S

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Aug 31, 2024

Excellent Course

创建者 faris t

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Aug 29, 2024

Amazing course!!

创建者 Abubakar A

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Aug 27, 2024

simply loved it.

创建者 Hansika K

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Aug 20, 2024

excellent course

创建者 duy b

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Aug 18, 2024

not for beginner

创建者 Aman R

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Jun 12, 2024

Brilliant course

创建者 DEBANGSHU P

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Jun 11, 2024

Simply brilliant

创建者 Ayush S

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Jun 1, 2024

Best course ever

创建者 Mohd A A

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May 25, 2024

best course ever

创建者 Agnidhra D

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Apr 30, 2024

Excellent course

创建者 Negin S

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Feb 20, 2024

Absolutely great

创建者 Appu S

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Feb 8, 2024

Excellent course

创建者 Madhu V

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Feb 2, 2024

Excellent course

创建者 Felipe B d S

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Dec 11, 2023

Curso excelente!

创建者 Zhuojin L

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Dec 2, 2023

wonderful course

创建者 M.M. N

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Nov 12, 2023

Very good course

创建者 Alan S

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Nov 10, 2023

Excellent course