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

4.9
stars
24,299 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.

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

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1076 - 1100 of 4,792 Reviews for Supervised Machine Learning: Regression and Classification

By Pieter-Ruan C

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Dec 13, 2023

Excellent introduction to machine learning, Andrew Ng's teaching style takes seemingly complex topics and explains it using simple logic and analogies.

By Daksh S

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Jun 14, 2023

extremely beginner friendly course , very proficient in terms of teaching deep rooted concepts of machine learning using mathematics .Loved this course

By Tarang T

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Jun 4, 2023

i love all the courses . they are quite easy , interesting and helpful as well. there is less work load and studying them is way to exciting. thanksss.

By Elham H

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May 31, 2023

I'm thrilled to share that I've completed the Supervised Machine Learning: Regression and Classification course by Andrew Ng and earned my certificate!

By Darren N

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Mar 13, 2023

Great course and Andrew Ng explains things very well in a very fun and engaging way. I'm looking forward to the next two coursed in the specialization.

By Stéphane K

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Mar 2, 2023

J'ai vraiment aimer le cours car il était très bien expliquer et les exercices aussi. Je vais continuer de m'entraîner de mon côté pour mieux maitriser

By Hongbo W

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Nov 20, 2022

The course is well structured, and the Professor has solid teaching skills. I highly recommend this course to those who want to learn machine learning!

By Yousef G

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Aug 20, 2022

If you are a beginner in machine learning and want to get an intuition of the ML both in concept and in coding you have to try this. Well Done, Andrew!

By Rahul P

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Jun 23, 2022

Very good explanition of concepts of machine learning.Most impresive is optional labs with intractive viz of concepts .Thanks for such great course!!!

By Samir P

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Oct 6, 2024

overall class was well organized and it was easy to learn through each step to know about the concept and implement them in practise using python code

By mohamed s m m

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Jul 28, 2024

Amazing course !!. Provides good introduction into the subject of machine learning and develops good intuition on learning algorithms and it's types.

By Chinmay B

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Oct 27, 2023

I liked this course very much, It helped me understand the real math and working of the algorithms that I used earlier but with sklearn or Tensorflow.

By Kartik A

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Aug 28, 2023

This is hands down the best course on Machine Learning, Anyone who is able to finish the specialization is definitely going to have a edge over others

By Yerramilli A

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Dec 7, 2022

Awesome! For those who doesn't have any Computer Science background, yet who wants to learn Machine Learning. Thank you for making such a good course.

By POON H C

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Oct 11, 2022

Hi, this is a very great course for you to start in learning machine learning. I recommend it to everyone. Be prepared to take notes while you learn.

By Ali A d s

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Aug 18, 2022

Amazing, just amazing , mr.andrew is explaining everything in the simplest way, it's fascinating, my deepest regards to people who made this possible.

By Aditya M

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Aug 11, 2022

Great course by standford university. I have learned some new Algorithms and this will definately help me to build my carrier in Machine Learning : )

By Aditya N

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Oct 11, 2024

This course is the best course to learn machine learning. This course is enough to understand ML if you are an absolute beginner in machine learning.

By Milan P

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May 31, 2024

It is a great course for beginners who are pursuing ML. The teaching style of Andrew is great and helps to understand concepts clearly and with ease.

By Manish S

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Feb 26, 2024

This is a very basic everyone should learn from this course prof. Andrew explains everything in so intricate manner that a 5 year old can understand.

By Kyle S

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Feb 8, 2024

Would like for some more questions / increased difficulty on the quizzes/labs. But overall very good course for learning introductory concepts to ML.

By Gytis

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Oct 2, 2023

Outstanding course on Supervised ML. The instructor breaks down complex algorithms into digestible bits. A must-take for aspiring data scientists. :)

By Rıfat A

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Jan 8, 2023

while Ng is a greater instructor, course appears to be made to learn with maximum time efficiency, and this makes the course almost perfect. thanks!

By Mariana B

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Dec 12, 2022

Very well-designed course with brilliant lectures. It is highly recommended for effective learning.

Thank you very much for such an excellent course!

By Ivan Z

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Aug 21, 2022

It's a nice course because it does not have any flaws. The difficulty is introductory, but I did learn a lot. It's a good prep for bigger challenges.