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
24,409 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 24, 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 23, 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:

1626 - 1650 of 4,804 Reviews for Supervised Machine Learning: Regression and Classification

By Ashutosh T 2

•

Mar 23, 2023

One of the best courses I have done. Easily explained and you won't realize when your level increases.

By Daniel B

•

Mar 11, 2023

I really like the way he lecture , the lab and also grading system thanks for that stanford university

By Pramod K J

•

Nov 30, 2022

Best attended ever. Andrew is the best teacher in the world. I am very happy with his teaching skills.

By Mostafa D

•

Oct 19, 2022

This Course is a must for any one wants to begin thier jouney in Machine learning , Highly Recomended

By afolami T

•

Aug 7, 2022

It's an Awesome time with Andrew Ng. My online mentor.

Looking forward to the next part of the course.

By Ethan B

•

Jul 24, 2022

The course is great for anyone new to Machine Learning. The labs are also very helpful and insightful.

By Gary W

•

Oct 31, 2024

Amazing foundational knowledge taught in an intuitive way that only a master like Andrew can achieve.

By Jhon L

•

Sep 22, 2024

Es un curso que te ayuda a tener conocimiento estructurado desde una explicación sencilla, es genial!

By K M

•

Aug 18, 2024

The best machine learning course ever. Assignment system could have been implemented in a better way.

By Irfan W

•

Jul 21, 2024

Great course for beginners, if you are getting started with ML, this is the best place to start from.

By IRADUKUNDA H

•

Apr 18, 2024

Very insiinsightful mostly for Ml beginners to figure out the the math behind the implemented models.

By Redy (

•

Mar 7, 2024

Perfect! Explanations are on spot and easy to understand. Definitely a good ML course for beginners.

By Ekta G

•

Dec 10, 2023

amazing course absolutely appropriate for beginners as the language is some simple and understandable

By Ankur R

•

Jun 18, 2023

Very well directed course, started from very basic and discussed all the terms. Everyone must attend.

By YIFEI W

•

May 23, 2023

This is a really great course that help me a lot in Machine Learning. Thankyou so much Professor Ng!!

By Mohamed Z

•

Jan 18, 2023

Great introduction to ML. Simple explanation to ML concepts and just the correct dose of related Math

By Abhishek N

•

Oct 22, 2022

I really liked the course content and interactive labs to implement what we learnt during the class.

By Aruni A

•

Oct 6, 2022

this course increase my understanding regarding supervised and unsupervised learning to great extent

By KEDUKODI B S

•

Aug 25, 2022

Fantastically taught course. One can even take this course just to learn how to teach. Thank you.

By Emre B

•

Aug 20, 2022

This course is for beginners and suitable for who wants to learn how work machine learning algorithms

By Burak F

•

Aug 20, 2022

Jupyter Notebook parts are actually very good for practice. Maybe optional math parts could be added.

By Balbir Y -

•

Aug 9, 2022

Exceptional course on machine learning on the internet. It actually teaches you how does things work.

By Bikash S

•

Aug 1, 2022

This is one of the best courses available for learning the basics of supervised learning algorithms.

By Marty G

•

Jul 18, 2022

Great, clear presentation of the material! Love the exercises especially with all the helpful hints.

By Vandy G 魏

•

Jul 15, 2022

It is great to learn this concept of this course. Lab assignment really make me interesting to learn