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
28,030 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

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!!

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.

Filter by:

3901 - 3925 of 5,363 Reviews for Supervised Machine Learning: Regression and Classification

By Filya

?

Sep 19, 2023

Thank You very much!!!

By Syed S A

?

Sep 10, 2023

Excellently explained!

By Mazen K

?

Aug 27, 2023

Highly Recommend this!

By Bodo C

?

Aug 25, 2023

I enjoyed this course.

By ???

?

Aug 17, 2023

What a useful lecture!

By Islam A

?

Aug 1, 2023

The course is amazing.

By Deleted A

?

Jul 30, 2023

Such a helpful course.

By Nicolas H

?

May 27, 2023

Very well made course!

By Raghavendra K

?

May 21, 2023

Excellent Explanation.

By M R

?

May 18, 2023

It is simply excellent

By 陈曦

?

Apr 9, 2023

very nice, keep moving

By S S

?

Oct 25, 2022

A great start with ML

By Karan D

?

Sep 26, 2022

Execptional Teaching!

By Tahir I B

?

Aug 19, 2022

Really awesome course.

By Helio A

?

Aug 6, 2022

Amazing, state of art

By Alberto F

?

May 9, 2025

Genial, muy didáctico

By Lee_Infinitee

?

Feb 2, 2025

a solid foundation :)

By Fateme Y

?

Nov 7, 2024

Your review(optional)

By Francisco J M S

?

Oct 16, 2024

Andrew is a genius :D

By Vando G

?

Oct 14, 2024

Amazing learning path

By Harshavardhan D

?

Jul 6, 2024

great knowledge

By AIMANE C

?

May 5, 2024

Really amazing Course

By Harutaka S

?

Apr 15, 2024

Andrew Ng is awesome!

By Koorosh

?

Feb 17, 2024

excellent , brilliant

By Parag P *

?

Jan 4, 2024

Perfect for beginners