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Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
18,908 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

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.

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3726 - 3750 of 3,908 Reviews for Supervised Machine Learning: Regression and Classification

By SREEHARSH N

Jun 11, 2023

Great course for those who are looking to step into the world of machine learning!!!

By Rameshbabu

May 8, 2023

Great Training. Suggest to add one additional lectures to brush up the mathematics.

By Eman M

Sep 23, 2023

Your lab session has timed out If you'd like to continue working, reopen the lab.

By Deleted A

Nov 29, 2022

There is no actual way to learn the basics of Python, you just CTRL+F other labs.

By 메타버스크리에이터

Mar 30, 2023

처음에는 조금 어렵고 뭐가 뭔지 몰랐지만 점점 익숙해지기 시작했습니다.. 앞으로 자주 방문해서 더 AI에 대한 더 많은 정보를 얻도록 하겠습니다

By Daniel N

Jul 12, 2022

Interesting, and useful, take on how the different topics relate to each other.

By Joshua E

Jun 12, 2023

The math can be confusing if you want to understand why the code is what it is.

By LALIT K

Oct 23, 2022

it was nice ,and with full touch of practical knowledge,it was really helpfull

By Sohrab M

Aug 29, 2022

I am really appreciated for being part of this community and learn new skills.

By ABHISHEK A

Jul 25, 2022

Great course but I wish instructor also explaned the option lap code as well.

By Gustavo T

Jul 21, 2022

Great content and learning pace. Just think the assignements could be harder.

By mohammad m m

Jan 26, 2023

perfect, but mathematics and academics subject was lesser than it should be

By Fahad A

Jan 30, 2024

Overall the course is good but you should upgrade your labs;they are worse

By Thomas G

Feb 25, 2023

The programming style in the labs is much more complicated than necessary.

By Yashu A

Jun 21, 2023

it was an amazing course overall but I expected more mathematical details

By Magdy E

Feb 8, 2023

It's a good first step in Machine Learning and this course was so helpful

By Suvroneel N

Jan 8, 2024

labs were helpful but could've been better to explain the codes in video

By Houimli M M

Feb 26, 2023

I strongly recommend this course as a first step in machine learning .

By عبدالله ج

Sep 19, 2022

near to ferfection but you need to add a week for data preprocessing

By erick

May 5, 2023

enjoyable , took me 3 months to finish.

I found it very informative

By Rahul C

Aug 14, 2022

Amazing course. Extremely well made and concise. Thank you Andrew.

By 53 V D A I s

Dec 24, 2023

I encountered significant difficulty while completing the course.

By Prathamesh K

Jul 18, 2023

I think there should be mere coding exercises, theory was perfect

By Md. E

Jan 1, 2023

Regularization wasn't clear. Other than that the course was great

By Leonardo K S

Nov 17, 2023

I would like to have more code class not just optional material.