糖心vlog官网观看

Chevron Left
Back to Supervised Machine Learning: Regression and Classification

Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
28,055 ratings

About the Course

In the first course of the Machine Learning Specialization, you will: 鈥� Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn. 鈥� 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鈥檚 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鈥檙e looking to break into AI or build a career in machine learning, the new Machine Learning Specialization is the best place to start....

Top reviews

AD

Nov 24, 2022

Amazingly delivered course! Very impressed. The concepts are communicated very clearly and concisely, making the course content very accessible to those without a maths or computer science background.

ED

Apr 14, 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!!

Filter by:

4776 - 4800 of 5,369 Reviews for Supervised Machine Learning: Regression and Classification

By Guillaume E

鈥�

Mar 28, 2025

good

By Sunny B G

鈥�

Mar 22, 2025

good

By Aditya P S

鈥�

Mar 14, 2025

Sexy

By Rui L

鈥�

Mar 13, 2025

good

By Ahanaf A

鈥�

Jan 21, 2025

best

By T煤 A L

鈥�

Jan 18, 2025

good

By Nnaattaaa

鈥�

Jan 9, 2025

good

By Saurabh S

鈥�

Jan 5, 2025

Best

By The M

鈥�

Dec 29, 2024

good

By Md. M H

鈥�

Dec 8, 2024

nice

By SANDEEP S

鈥�

Nov 30, 2024

good

By Bu臒rahan A

鈥�

Nov 29, 2024

nice

By Sepehr S

鈥�

Nov 23, 2024

good

By Zona D

鈥�

Nov 21, 2024

nice

By 袪邪屑邪褌褍谢谢邪械胁 袠 袗

鈥�

Nov 13, 2024

good

By Mahek

鈥�

Nov 12, 2024

Good

By Shahad D R A

鈥�

Nov 11, 2024

good

By Aditi P

鈥�

Nov 10, 2024

good

By Hepprajith P

鈥�

Nov 9, 2024

good

By Aryan G

鈥�

Nov 9, 2024

good

By Omar k

鈥�

Nov 5, 2024

good

By Yossi R S

鈥�

Oct 16, 2024

GOOD

By Rahul K

鈥�

Oct 15, 2024

good

By Fadhila A S

鈥�

Oct 14, 2024

Good

By Deni K

鈥�

Oct 10, 2024

good