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
30,880 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

MA

Jan 28, 2025

I've really enjoyed learning about Machine Learning in such a guided way. It will continue to inspire me to learn more about AI. Thank you Andrew Ng, DeepLearning.AI, Standford ONLINE, and 糖心vlog官网观看.

AA

Apr 30, 2023

Optional Lab lot more time than mentioned without prior experience of python and libraries used. Its estimated time should be change, it's a lot more than 1 hour. Video and exercises are very good.

Filter by:

2926 - 2950 of 5,849 Reviews for Supervised Machine Learning: Regression and Classification

By Marek J

鈥�

Aug 3, 2023

Great introductory course on supervised machine learning!

By Huzaifa I

鈥�

Jul 25, 2023

Good one. Logistic regression was difficult, but worth it

By oshen n

鈥�

Jun 29, 2023

Good teacher and good content thank you for the knowledge

By Alvin L

鈥�

May 14, 2023

I would suggest this course to anyone starting out in ML.

By Mohammad H H

鈥�

Apr 2, 2023

A Masterpiece in AI world , Thank you Andrew and coursera

By Adam P

鈥�

Mar 20, 2023

Great introduction course, not difficult just takes time.

By Baburam C

鈥�

Mar 3, 2023

awesome with great details, Quizes, and practice problem.

By Venkata K R

鈥�

Jan 5, 2023

It is the best course for machine learning in my opinion

By Andrea Q

鈥�

Nov 27, 2022

Very interesting and well taught, definitely recommended!

By Chao X

鈥�

Nov 2, 2022

It's pretty good! deeply understanding after this course!

By Ioannis K

鈥�

Sep 5, 2022

Excellent for beginners but also experienced programmers

By Bruno F A d C e C

鈥�

Aug 16, 2022

My greatest experience learning, thank you very so much!!

By Dmytro A

鈥�

Aug 16, 2022

Useful, well structured and technically supported course.

By Karim A

鈥�

Aug 8, 2022

very good as start with clear explanation and good quizes

By 臁办洂鞓�

鈥�

Oct 4, 2025

甑� 欷戩殧臧滊厫毵� 歆ш矊 鞎岇晞臧�旮� 膦嬱潃霌� 霝╈潉 氤措┌ 旖旊摐 頋愲氤措┌ 霃呿暀頃橂┌ 牍犾 鞁れ姷攵�攵� 毂勳毟 靾� 鞛堨棃雼�.

By Nelu R

鈥�

Sep 23, 2025

Very useful for those looking for an introduction to ML.

By Zytion F

鈥�

Jun 17, 2025

A very fundamental and helpful course! Thank you Andrew!

By Kristiyan D

鈥�

Mar 26, 2025

It is good for the basic understanding of the algorithms

By Marina D

鈥�

Mar 21, 2025

Very informative class, but hard to memorize right away.

By Chandana H K

鈥�

Feb 1, 2025

One of the best courses I have come across. Very helpful

By Nitesh K

鈥�

Jan 2, 2025

Incredible Course the way tutor teaches exceptional well

By Leila ( L

鈥�

Dec 21, 2024

I love Andrew he is so fun and he explain things so well

By Ernesto J O M

鈥�

Dec 18, 2024

Nice explanation and good exercises. Excellent Material.

By Olle T

鈥�

Jul 8, 2024

Very much what I wanted. Perfect level. Andrew is great.

By Sezai U O

鈥�

Jul 4, 2024

Really good for understanding the logic and math behind.