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
30,219 ratings

About the Course

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....

Top reviews

FA

May 25, 2023

The course was extremely beginner friendly and easy to follow, loved the curriculum, learned a lot about various ML algorithms like linear, and logistic regression, and was a great overall experience.

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.

Filter by:

5001 - 5025 of 5,723 Reviews for Supervised Machine Learning: Regression and Classification

By Seong H P

?

Jul 15, 2022

Awesome

By Raman C

?

Jun 30, 2022

awesome

By Jagrut T

?

Aug 11, 2025

Thanks

By Hakia S

?

Apr 2, 2025

使我受益良多

By Κωνσταντ?να Δ

?

Feb 2, 2025

Great!

By Alizay Y

?

Jan 2, 2025

thanks

By Noor A A ( n

?

Dec 20, 2024

Thanks

By Marco T ? C

?

Oct 24, 2024

Superb

By Amit A

?

Dec 15, 2023

Great.

By Sarfaraz A K

?

Dec 5, 2023

amaing

By MRITUNJAY P

?

Nov 9, 2023

Thanks

By 21020051 P G V A

?

Sep 25, 2023

Great!

By mostfa s

?

Sep 4, 2023

thanks

By YBH

?

Jun 2, 2023

great!

By Mohamed A S Y

?

May 12, 2023

Great!

By Barno B

?

May 9, 2023

best b

By Renato A V e T

?

Feb 18, 2023

Great!

By Albert A

?

Jan 11, 2023

Great!

By Maaz M

?

Dec 3, 2022

Superb

By Mehfuz Z

?

Oct 29, 2022

Great

By Rahul R

?

Oct 18, 2022

Great

By YUG J

?

Oct 11, 2022

Best.

By Amani D

?

Aug 21, 2022

thanks

By seyed m s m

?

Jul 18, 2022

thanks

By Muhammad M D

?

Jul 8, 2025

Great