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

4.9
stars
23,866 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

JM

Sep 21, 2022

Specacular course to learn the basics of ML. I was able to do it thanks to finnancial aid and I'm very grateful because this was really a great oportunity to learn. Looking forward to the next courses

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.

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1376 - 1400 of 4,721 Reviews for Supervised Machine Learning: Regression and Classification

By Abdoul A M

Jan 5, 2024

I learned so much, it's incredible ! the explanation are so clear, I understood but I need more time to really get it.

By Sohag H (

Aug 21, 2023

Thank you Andrew NG sir for giving the opportunity .I will bring your knowledge into rural area . I have learned a lot

By OneX

Jul 2, 2023

i don't know whether this is the best machine learning or not, but the tutor is top notch and very easy to understand.

By Leon “ J

Feb 28, 2023

A little easy for a student with some knowledge in this area. But as for a starting course, it's alright and detailed.

By Aditya B

Feb 4, 2023

This course gave me confidence. I enjoyed learning all the amazing stuff about machine learning

Thanks a lot Dr. Andrew

By Rafi D

Jan 30, 2023

Clarity of explanations and testing only what matters makes this course fairly painless and yet extremely informative.

By Apurva R

Jan 26, 2023

Excellent course. One addition to the existing material I would request is a course on Bayesian Probability, MLE, MAP.

By Chih-Ta W

Nov 26, 2022

This course is well-designed and the labs really helped a lot in understanding the concepts mentioned in the lectures.

By Pranil D

Oct 30, 2022

Really great intro to ML. It didn't feel too complicated and that's largely due to the great instructor Andrew Ng is.

By Dileep S

Oct 15, 2022

I am so happy that I took this course. Andrew is amazing, the way he teaches is great. Best course I have ever taken.

By naichuan z

Jul 16, 2022

I have learned Machine Learning in class, but this course gave me a more intuitive understanding of machine learning.

By ABHISHEK L

Jul 9, 2022

course gives in depth understanding of codes running in background and that too in a very easy to understand methods.

By Shivani C

Oct 14, 2024

I loved the teaching style of Andrew Ng and also the lab material prepared for this course. Really enjoyed learning!!

By Marcelo C

Feb 26, 2024

This is an excellent certification! I recommend it to anyone working on predictive analytics, ML classification, etc.

By Ruhama A

Jan 28, 2024

I enjoyed the coursework and learned the intuition behind the core concepts of linear and logistic regression models.

By Md. A S

Dec 13, 2023

Excellent foundation course to understand the core basics and equations behind Supervised machine learning algorithms

By Raghavendra S V S

Nov 30, 2023

The course is explained very well. The lab assessments are organized in right way to broyp the knowledge of the topic

By Jimmy R

Nov 9, 2023

Super clear and informative! Would absolutely suggest to anyone wanting to a decent understanding of the fundamentals

By Anna M B

Oct 7, 2023

Super! Andrew Ng consistently delivers the best and most inspiring courses on complex subjects like Machine Learning.

By Mohamed E F

Jul 19, 2023

Good course It helped me to deepen my understanding of the implementation of both regression and logistic regression.

By Sambit S

Jul 10, 2023

It's been an incredible learning journey, and I highly recommend this well-crafted course for beginners in the field.

By Abhin B

May 2, 2023

It was a really good course And i feel blessed to have been offered a course like one considering my financial status

By Aly A A K

Mar 30, 2023

Well organised course and excellent instructor .here i understood alot of concepts was difficult for me to understand

By AhmsOK H

Dec 28, 2022

Andrew Ng is an incredible teacher, making the subject matter and mechanics of this topic, easy to digest and follow.

By J K

Oct 20, 2022

Informative and the interactive labs were great at practicing the material and seeing how it all works for yourself.