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

4.9
stars
17,990 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.

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676 - 700 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Nur M H

Mar 26, 2023

Amazingly delivered course! Very impressed. A superb educator, Andrew Ng. Using simple to understand examples, he thoroughly described every topic covered in the course. Sir, many thanks.

By TUBUN J

Jul 30, 2023

Mr. Andrew is my favourite ML teacher ever i meet. Thanks for giving me the clear knowledge about the ML as well as the way of teaching.

At last thanks for helping me in my financial aid.

By Pratham D

Jul 25, 2023

All you need is a good teacher before taking this course I thought machine learning is not my cup of tea . I am really glad I took this course best decision I have ever taken in my life.

By Florian W

Jul 10, 2022

Great course! I enjoyed it a lot. The pace was good and the labs were a lot of fun. I really enjoyed the interactive jupyter notebooks to play around with in order to get more intuition.

By SERGIO A C

Jul 7, 2023

I really like to do the details. When coding you need to go to the last detail of implementation. A program that almost run and almost ready ...doesnt work. It does work when is running

By Ivo M

May 21, 2023

One on the best instructional series I've ever seen - not only in the field of ML, but generally. The lectures and labs are perfectly balanced and allow for gradual and stable progress.

By mutuku n

May 9, 2023

Lambent is an understatement. I thought it was difficult but it is not. Anyone can go through it. I am looking forward to completing 2 and 3 and later shift to tensorflow specialization

By Tordiah A

Feb 20, 2023

I MUST CONFESS THAT I HAVE NOT ONLY UNDERSTOOD THE COURSE BUT I REALLY ENJOYED IT TOO.

THIS IS A COURSE WORTH ITS PRICE. THANKS TO EVERYONE WHO CONTRIBUTED TO ITS ESTABLISMENT.

THANK YOU.

By Mohammed F

Oct 15, 2022

The One Thing I Really Love about This Course is The Instructor 'Andrew ng' is Awesome. He is Such a Good Person and I like His Smile. His Teaching Methods are Really Good. I love Him.

By Nima J

Oct 11, 2022

It was a very interesting course! I learned a lot and was able to familiarize myself for my upcoming master thesis in the field of machine learning! I will visit the course part 2! :)

By Артем К

Dec 16, 2023

This course is extremely recommended for students who are interested in Machine Learning algorithms. Everything is explained clearly, without any sophisticated definitions or formulas.

By Muhammad E R

Jul 18, 2022

Amazing course. I learned a lot. Much much better and easy way to understand ML than the original 'Machine Learning' course. Thank you all the team members for reorganizing the course.

By Ronald J

Jul 10, 2022

This was a great class! I was excited to see that it was more digestable then the calcualus c229 class on youtube. Also, a must view for the math nerds lol onward to the next course!!

By UPPALAPU S R

Mar 13, 2024

Wonderful content and presentation. Awesome lab support. But while submitting an exam it graded zero for first time and shown actual grade after resubmission without any extra change.

By Bahadir U

Jul 4, 2023

This course is very helpful for understanding the fundamentals of artificial intelligence. I am surprised how deeply Andrew NG explains most complex topics using very simple examples.

By Muhammad i z

Jan 26, 2023

Great course for introduction to Machine Learning!. This course dig deeper into "what happened" when you using or running machine learning model. Thank you Coursera & DeepLearning.ai.

By Ann R

Jan 21, 2023

Nice to finally discover some practical applications of all the calculus I learned years ago. Enjoyed the course, especially the explanations and demonstrations of the maths involved.

By Khaled A

Sep 14, 2022

What an amazing course ,I really gained alot of knoweldge throughout the course but I hoped to apply my knoweldge in real data set or real application for Linear/Logistic Regression

By Musidivalasa G

Jul 13, 2022

Fantastic platform to start the machine learning journey, where the very basic and needed terms,definitions, algorithms are neatly explained. Had lot of fun through the entire course.

By Muhammad A S (

Aug 31, 2023

This was a fantastic course. Andrew's teaching method was terrific and the way optional/practice labs were designed really helped solidify the concepts learned during video lectures.

By jerlshin O

Jul 2, 2023

hello sir, I'm grateful to have access to the world wide knowledge provided by people like you. I learnt many things usefull and i will be keep on learning. Thanks a lot sir and team

By Romani N S

Jun 26, 2023

good content and instructor was perfect.

good slides and practical labs helped me for learn more python syntax in different libraries.

I highly recommend this course as you beginner

By Asror B

Oct 18, 2022

I want to thank everyone, the course taught me a lot. I think that what I have learned through this course will be very useful to me. I am grateful to those who organized the course.

By ADARSH G

Jul 28, 2022

Pretty great course. Only one concern: Assignment are easy. For added difficulty try to code in vectorized way without using for loop to calculate cost, gradients in the assignment.

By Fiewor J

Oct 21, 2023

As a former student, it was a great experience to come back to this and see some very useful updates especially around the usage of Python, NumPy, Scikit-Learn and Jupyter Notebooks