Chevron Left
Back to Supervised Machine Learning: Regression and Classification

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

Invalid date

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

Invalid date

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.

Filter by:

926 - 950 of 4,537 Reviews for Supervised Machine Learning: Regression and Classification

By DEVA S R S G B

•

Dec 10, 2023

This course is totally awesome, the UI used in the slides and the professor accent is simply superb. I gained a lot of knowledge in the Machine Learning field. Thanks

By Suliyaa m

•

Nov 23, 2023

The first module was really good, and the way Prof. Andrew explains everything is simple and direct. Thanks for the Financial aid Coursera it was a great opportunity.

By Talha Åž

•

Sep 6, 2023

Compared to other machine learning courses(the one from Google), it describes methods mathematically. It contributed a lot to understand the main logic of algorithms.

By Konstantin L

•

Jul 18, 2023

Amazing course.

Makes it easy to understand the fundamentals, even for me as someone who had a carrier in ballet in almost 2 decades.

Thank you so much for this course.

By Gade A

•

Jul 5, 2023

This course helped me to get the Knowledge on Machine Learning and This helped me to ge the placement in my college. This is the best course I recommend for Beginners

By 邱少麒

•

Jun 7, 2023

It is a good course and interests me a lot. And I have learned two useful Supervised Machine Learning algorithms which will help me a lot in my advaned study carrer.

By Hasnain A

•

Mar 20, 2023

I took a machine learning course in my college. But I never thought I would learn it in such great detail. Thanks, Andrew Ng. and Coursera for such a wonderful course

By Peter R

•

Aug 30, 2022

Gave me a good understanding of the concepts that machine learning uses.

A valuable course that I recommend for anyone who wants to know more or get started with ML.

By HÆ°ng L H

•

Aug 5, 2022

Many thanks to the people who made this course. A very useful course. I would recommend this course to everyone. Wish the course will have more and more people learn.

By Francisco J M R

•

Mar 8, 2024

Good introduction to Machine Learning from a physicist, I felt like it was very easy to go with professor Andrew's explanations. Thank you very much for this course!

By Arun S

•

Oct 31, 2023

Excellent course, as always, by Andrew Ng. It is such a delight to learn this subject... and I am in my sixties! I am doing this mainly for intellectual curiosity.

By Saurabh C

•

Aug 31, 2023

The best machine learning course for beginners. Prof Andrew Ng explains and gives the intuition of any algorithm in the most simple way, the visualization is so good

By Kwabena K A

•

Aug 22, 2023

An amazing course! Very well-structured, informative and easy to understand. I would highly recommend it to anyone interested in beginning to learn machine learning.

By Alysson M

•

Jul 19, 2023

Great course with practical labs that really make the difference. I would just say that a bit of Python knowledge is recommended for better understanding the course.

By Julio R

•

Feb 21, 2023

Amazing! Cumplió todas mis expectativas. Las tareas de programación son perfectas para entender más de cerca cómo se llevan a cabo los procesos de ML en la vida real

By Ryan R

•

Feb 4, 2023

Andrew Ng is amazing! His energy passion, and understanding of the topic is inspiring! I hope to one day get into the Master's program at Stanford to learn from him.

By Abhigyan D

•

Sep 20, 2022

If you are looking to explore and learn about Machine Learning and Data Science, this course is a must one. Andrew Ng is one of the best instructors on the subject.

By Augusto F

•

Jul 16, 2023

It´s a great course for the beginners in the field of AI and machine learning algorithms. Andrew is an excelent professor and his lecture is very clear. Five stars!

By Stephen A

•

Jun 25, 2023

I am so happy to be a part of it. The teachings were clear and specific. Explanations are super articulate. Thank you Deeplearning.ai, Coursera and Stanford online.

By Daniel B

•

Apr 25, 2023

it’s been a really fun experience. The teachings are very clear and great. God bless you for organizing this. I look forward to going places with what I am learning

By Afolabi A

•

Jan 13, 2023

Thank you, Andrew. I was sceptical about learning ML but now I am hungry for more. Thank you for the well detailed explanation, I wish i could give you a 10 star :)

By Nayrouz H

•

Aug 5, 2022

way simpler than the past ml course , prof.Andrew is explaining hard topics in a very easy way , it feels like 3rd grad math , not ml and advanced math ... LOVED it

By Ezekiel A

•

Aug 27, 2024

Thank You Andrew for giving a digestible way to understand machine learning concepts as well as proper implementation. I'm truly thankful to have found this course

By Kuntal S

•

Jun 20, 2024

I was fairly new to these concepts and quite frankly these topics were overwhelming. Now i Understand the workings a bit my fear of AI takeover has been validated.

By Amith J

•

May 26, 2024

Really good course to start learning ML. Can complete with minimal coding knowledge. Plenty of optional labs available if you want to fully explore every scenario.