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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
31,265 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!!

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1426 - Supervised Machine Learning: Regression and Classification 的 1450 个评论(共 5,921 个)

创建者 Dinesh R

Feb 15, 2025

This is an absolute no brainer for beginners excited to start their ML journey , almost no prerequisites to understand the whole course.

创建者 Sushil K

Dec 30, 2024

Excellent course. Great Instructor. Cleared many questions that I'd around AI and ML models. Highly recommend this for any AI enthusiast.

创建者 Saba M

Sep 10, 2024

it was the beginning of my machine-learning path, soooo grateful to had this chance to gain such valuable experiences from Andrew himself

创建者 Allen S

Dec 21, 2023

The best guided course for learning Machine Learning. The labs where very insightful and detail oriented. Thank you DeepLearning.AI team!

创建者 Agata W

Mar 30, 2023

Excellent teaching. Professor Andrew Ng is perfect at explainig quite complex concepts and ideas in a very, very simple and coherent way.

创建者 Masaab G

Feb 28, 2023

The best course to learn Machine Learning. It include all aspects of the Machine Learning Including coding and actual methematical logic.

创建者 kamalidharan s

Sep 1, 2022

The best foundational course on Machine Learning, I love the balance of math and programming concentration in the lectures and assignment

创建者 Arabinda P

Jul 6, 2022

thank you a lot sir for such a wonderful explanation. comparing the previous course offered by you, this one is far better .thank you sir

创建者 Ahmed U

Aug 4, 2025

The teaching as well as the assignments were exceptional. The only issue i had when doing the assignments was in recognizing the errors.

创建者 Carlos D A D

Apr 20, 2025

Excelente curso, aprendí a utilizar Python aplicado al aprendizaje de máquinas, a fin de aplicar a técnicas de regresión y clasificación

创建者 Ahmet Y Ç

Feb 23, 2025

This course mostly covers linear algebra and its programming. The coding was a bit challenging as a new coder, but it is not a big deal.

创建者 zeiad a

Sep 12, 2024

The labs submission process is a bit confusing and the way we don't have the ability to restart the lab from scratch is really annoying.

创建者 Muhammad S H S

Nov 21, 2023

The course designed by the instructors was very smooth to learn. Special thanks to the Professor Andrew Neg for his easy explainations .

创建者 Suveer C

Aug 20, 2023

Good structure to begin the ML journey. Handholding in Math equations and NumPy is great. Enables a beginner to understand the concepts.

创建者 Truong T N

Jul 24, 2023

Well designed course and thoughtful. Help you learning and implementing the building blocks for practical machine learning applications.

创建者 Ewa K

Jun 12, 2023

Great content, explained in the pedagogical way, motivational form of the course and fantastic utilization of online tools for teaching.

创建者 David G

May 31, 2023

Too longer than expected as it's necessary to get familiar with the numpy libraries, and I went further than what's minimally necessary.

创建者 Manuel D R

Jan 30, 2023

Great course for learning the basics of Machine Learning as it explains the mathematics, algorithms, and their implementation in Python.

创建者 Leon C

Dec 14, 2022

Great first technical course on Supervised Learning. Well taught, well designed. I needed a first intro to A.I. and thsi was perfect.

创建者 Αντώνιος Τ

Sep 13, 2022

It was a pleasure learning from the best. Andrew Ng is really awesome in pointing all the details without loosing the complete picture!

创建者 Orlando H

Aug 13, 2025

Would help if you had some coding experience with Python, but it's ok if you don't. The hints help out a lot, so look at them for help.

创建者 Ayushman H

Jul 23, 2025

Better than the previous machine learning course. All concepts are visualized and optional labs are superb to strengthen your concepts.

创建者 Parth K

Mar 31, 2025

Andrew ng is an exceptional educator. The course equips you with the necessary tools and understanding to build algorithms from scratch

创建者 Gustavo V

Jan 1, 2025

Exceptional introduction to Machine Learning. Andrew is super positive and excited, which makes the whole experience even more awesome.