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

4.9
stars
22,170 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

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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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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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476 - 500 of 4,590 Reviews for Supervised Machine Learning: Regression and Classification

By Jahnavi V

Feb 5, 2023

Wonderful course for beginners as well as experienced coders. Structured perfectly with good pacing, simple assignments and interesting hands-on labs . It definitely gives us a deep understanding of the concepts needed to apply machine learning in real world situations.

By NALLAPERUMAL S

Jan 23, 2023

The contents of the course and the practice labs are structured in a way that someone who is getting introduced to ML and with little/no programming knowledge can catchup and complete the course successfully with a lot of learning. Thanks to the entire team behind this.

By assia t

Jul 26, 2024

This specialization on Coursera is excellent! The courses are well-structured, the hands-on exercises effectively reinforce concepts, and the community support is invaluable. An enriching experience that has solidified my skills in machine learning. Highly recommended!

By UmaMaheswar M

Sep 25, 2022

It's a fantastic course taught by Andrew Ng. It progressed from the fundamentals to more complex discussions of logistic and linear regression. Quizzes and laboratory tasks were quite enjoyable for me. I thank Andrew Ng and his team for offering this excellent course.

By Yash B

Jul 11, 2022

Really helpful! Doesn't feel that difficult in the beginning, but slowly starts to become a little complicated. Dr. Andrew's teaching pace and style is amazing, really calming. I enjoyed this course, and hopefully will love the next 2 courses in the specialization too.

By Akash K P

Feb 8, 2023

This course has been a great learning experience and I am grateful for the opportunity to expand my knowledge in this field. With this course, I feel confident in my ability to develop, implement and evaluate effective machine learning models for various applications.

By Gargi S

Aug 7, 2024

What a start in ML journey.... The course is just great, I even didn't knew python and it's libraries but with great explanation it did it. Additionally, Thanks a lot for providing me this course for free. It's most recommended ML course I would ever suggest anyone.

By Soroush R

Aug 5, 2023

Fabulous course to learn the fundamentals of machine learning. The tutor of this course, Andrew Ng, has the best method of conveying essentials and basics through examples and visual graphs. I am more than happy I could access and follow this course through Coursera.

By Shreya G

Aug 8, 2024

Provides in-depth, mathematically thorough understanding of foundational concepts. The lessons were very engaging thanks to the instructor's comprehensive way of teaching. I found the practice exercises too basic, but the extensive lab material helped fill the gaps.

By Alessandro C

Mar 7, 2023

The finest quality material and learning experience I've experienced in a learning platform. Professor Ng is able to deliver key concept with outstanding clarity and conciseness, keeping the lessons engaging with with videos that are short, sweet and to the point.

By Sravana K K

May 15, 2023

This is EXCELLENT course. If you are confused about where to start with learning ML, start here. The course videos, practice code, and tests are all designed meticulously so that anyone with basic math and computer science knowledge can get a solid grounding in ML.

By Saurabh Y

Nov 15, 2022

I just can't thank enough Andrew sir and Coursera for making such a wholesome course .

I was trying to learn machine learning from the past few months but the information was scattered and I became directionless.

This course is the best thing happened to me in year

By Yash M

Sep 21, 2024

This course taugh me the basics of machine learning types of machine learning and how machine learns what is supervised learning . This course is the best course out there and no course can explain as great as andrew ng explains with practical and theory concepts

By Mattia S

Aug 23, 2024

Il corso mi è piaciuto per quanto riguarda la parte teorica e di esercitazione opzionale sulla programmazione, gli argomenti sono spiegati di pari passo per fare capire step by step gli algoritmi che gestiscono questo fantastico mondo dell'intelligenza artificiale

By Dilshan A

Mar 22, 2024

I studied 4 courses related to the supervise learning prior to take this course. But this the best and amazing course so far I learn about ML supervise learning. Thank you so much Prof. Andrew Ng for created such an enormous effective ML supervise learning course.

By Nagy B

Mar 18, 2024

I would like to thank Andres NG and his team for creating this amazing course on Machine Learning, such an amazing opportunity to learn and get familiar with foundational concepts about AI and Machine Learning. Amazing course thank you Stanford and Deep-Learning !

By Nicolas D Á

Feb 3, 2023

In addition to the evident technical mastery, you can really notice the excellent pedagogical quality of this curse. Definitely one of the best online curses I've ever taken. The resources provided and the organization of the jupyter notebooks is incredible. 10/10

By HexagonReversal

Jan 20, 2023

Good content for learning the basics, but does not go beyond very simple math. Only two models were introduced here: linear and logistic regression/classification.

Has a very brief introduction to scikit-learn but again doesn't go to any depth beyond two lab files.

By Digvijay A

Apr 12, 2024

I was looking to start the process of learning AI/machine learning from absolute basic fundamentals. After checking various options online, i decided to try this course and i got what i wanted. If you are new to AI/ML, this course will be a great starting point.

By Suchit G

Apr 7, 2023

An excellent course for beginners and people who know python alike. There aren't many drawbacks in this course, but I have to point out that this course would benefit with some easy to medium level exercises at least. Other than that this is quite a flawless one!

By Alexander F

Sep 28, 2022

Brilliant course. Accessible for anyone who can code in Python and do high-school algebra math (yet it goes deep into the heart of the math for us nerds), and leaves you surprised as to how much you actually learned when you look back. No small feat by any means!

By Daniel M

Apr 19, 2023

I really enjoyed the course because it wasn't too much information at one time but you could feel that it was good thought out. I would recommend to everyone who has a little bit of python programming experience and wants to learn more about Machine Learning. :)

By Abdullahi E

Mar 14, 2023

Profs explanations were great and I only had to do a bit of my own learning to get a better grasp of numpy. My only recommendation is if you are applying for financial aid, do not start the course until you get approved. You cannot do any labs or submit quizzes.

By Şəfa S

Oct 18, 2022

All theories,details are explained completely simple ways. After watching all videos, I could understand given concepts and implement them on practical labs. Great thanks to all instructors and also cousera that provide me financial aid to complete this course.

By Salomon H V

Apr 22, 2024

Es un curso increíblemente completo a nivel matemático y programático, el profesor explica de una manera detenida e impecable, aprendí de una increíble manera y muy ágil, ya que las enseñanzas impartidas están muy bien estructuradas y son fáciles de comprender.