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

4.9
stars
18,654 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

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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.

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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701 - 725 of 3,863 Reviews for Supervised Machine Learning: Regression and Classification

By Ronald J

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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

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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

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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

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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

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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

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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

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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 (

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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

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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

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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

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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

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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

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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

By Vivek

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Sep 30, 2023

Wonderfully explained, easy to understand, and the practice labs were very helpful (definitely recommend reading through it for review and to get a deeper understanding of the code)

By Shreyansh G

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Sep 29, 2023

One of the best courses to start Machine Learning journey with easy-to-understand videos, lab sessions and quizzes. Dr. Andrew is no doubt one of the best instructors to learn from.

By Paras P S

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Sep 13, 2023

Really good course for beginners as well as advanced people looking for a brush up on topics. The labs are self-sufficient requiring continuous practice from the participants' side.

By Mohammed B

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Aug 3, 2023

One of the best courses for who do not have any previous experience in machine learning. The course focuses on the practical part as well as the mathematics behind machine learning.

By Marko N

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Jul 17, 2023

Professor Andrew Ng is brilliant as ever in this course. There are a lot of notebooks with great visualizations after almost every video. I highly recommend this course to everyone.

By Ronit K

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Jun 20, 2023

This was an amazing course which highlighted the importance of foundation building in Machine learning. Sir Andrew made this roller coaster ride a very smooth and delighted journey.

By LEASU I

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May 7, 2023

A very interesting course. It was intimidating at first, but I just had to keep going and I'd say I would still revise this course over and over again to glean deeper understanding.

By Piyush S

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Aug 28, 2022

Provides one of the best content on Machine Learning available globally on internet to learn from. I loved the way Sir NG teaches the course. This course literally deserves 5 starts

By Stephen R

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Aug 20, 2023

Very comprehensive. I found It tough at the outset because of a lack of Python knowledge, but I caught up. I feel I could do the course again. Looking forward to what is coming up!

By Marcus V d M R

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Aug 5, 2023

Ótimo curso introdutório sobre Machine Learning e suas propriedades matemáticas e práticas em Python, recomendo a todos que desejam ingressar na área com um conhecimento acadêmico!

By Ana G

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May 2, 2023

This was my first online course, I confess I was a little apprehensive, but the experience was excellent. The quality of the course, resources and learning trajectory were amazing.

By Hasnat A

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Feb 8, 2023

A very well explained and highly appreciated efforts done by the team of deep learning.AI

labs were extremely useful and informative

thanks for the efforts you putted in the course