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

4.9
stars
24,409 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.

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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526 - 550 of 4,802 Reviews for Supervised Machine Learning: Regression and Classification

By Danon K

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Nov 2, 2024

You will still need to practice what you have learnt but the content that is re-enforced with the labs are a great start. You can take any data set you want on Kaggle and jump right in with your first ML algorithm. The knowledge gained here is that good.

By Joel B

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Nov 1, 2024

Thank you for the fantastic course! The beginner-friendly approach really helped me understand the concepts. The labs were great for demonstrating the practical applications of the mathematical ideas . I’m excited to apply this knowledge in my projects :)

By sichun z

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Aug 6, 2022

He uses easy and mimic words explains complex mathematical theories which is well understandable. The optional lab is especially well designed which helped me a lot to understand the concept of linear Regression and have practical experience with python.

By Korede I

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Nov 24, 2024

The course really was great, no doubt! I just wish there were more cognitive demanding exercises, say working on a project from start to finish with just little guidance, to really dial in the knowledge. But I really am excited to have taken this course.

By Paul O

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Sep 20, 2023

I've taken a lot of courses on Coursera. This might be the best one. It took me a lot longer than the estimated 15 hours, mostly because I spent a lot of time studying the code that comes with the optional labs. For me, it was well worth the extra effort.

By Waileng L

•

May 19, 2023

Great beginner class/introduction to ML. Clear explanations that go through step by step the equations/ calculations followed by what that looks like in code. Using simple, real-life examples also help to make the concepts easy to understand and digest.

By Pablo O

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Aug 1, 2023

I enjoyed this course a ton. The explanations the professor gave where easy to understand but got deep into the concepts he was explaining. He was able to communicate concepts really well and encouraged learning everything and even experimenting with it.

By Arghya D

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Apr 28, 2023

Andrew Ng being one of the best teacher taught machine learning concepts so easily. The best thing about the course was the labs. They provided good amount of material for practice the final assignments were very helpful in implementing what me learned .

By 游铠强

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Aug 30, 2022

Prof. Andrew is amazing! I have taken other courses before (also the older version of this course) but never got to finish any. This time a push myself to follow every task and finally did it. Looking forward to the challenges from the next two courses.

By Yasir J A

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Jul 11, 2023

If you just start the journey of Machine Learning, I recommend you to start with this course. You will gradually know the science behind Artificial narrow intelligence starting from the simple well-known equation of a straight line. Thank you, Andrew,

By Muhammad A

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Mar 5, 2023

The course material is excellent to learn the course's contents. Videos are very helpful for understanding. Assignments given in week#2 & 3 are really amazing for understanding coding in jupyter notebook.

We are very thankful for the teacher and others

By mehran k

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Dec 28, 2022

It was the best course that I have ever passed. It was so practical and useful for me. My sincere gratitude goes to the instructor of this course professor Andrew NG and to Stanford university, Deep learning AI and Coursera for their financial support.

By Maede S

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Dec 21, 2022

Thank you Andrew Ng sir and brilliant team of DeepLearning.AI , I have finished this course and start my interesting journey recently. I strongly recommend this new course in python which empowered by informative Lab and insightful visualization tools.

By Miguel I

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Sep 25, 2022

The teacher is really superb, makes the subject really simple to understand. Intuition chapters are specially helpful. Complexity adds up a little bit, but each layer is thoroughly explained.

Thank you Andrew Ng, and the team that made this possible!

By Wladimir E B

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Jun 25, 2023

Excellent first course on supervised Machine Learning. The explanations are very clear and the material, prepared by the instructor, is very didactical. I really enjoyed working on the notebooks and visualising regression and classification in action.

By Ofek c

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Sep 16, 2022

I am not new to python but new to machine learning and I feel like the course tought me a lot and also managed to simplify very complex subjects at the begining before stepping into details which it also does very well.

Andrew teaching is amazing ! .

By Pavel K

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Aug 10, 2023

Although most of this course was taught to me as a part of statistics course for my engineering degree, I appreciated how well the concepts were explained. This is a very good introduction for beginners to machine learning and regression in general.

By Margarete M K

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Feb 17, 2023

Very good - I liked self-paced curriculum!'

Very nice lectures and well presented. Simplified enough, that I don't have to be a mathematician to follow the course.

Very good interaction with the labs to help me also see immediately the implementation!

By Manjul S

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Jan 2, 2023

The course starts from basic and inceases its level, the instructor taught smoothly and easy to understand by anyone, The course is having all the materials which you are needed while learning as ppt-slide, quiz, assignments and all are very useful.

By Inan C

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Dec 4, 2023

As a mechatronics student interested in Machine Learning, I was very pleased with the course I took. Andrew Ng may be the best teacher I have ever listened to, he has an extraordinary teaching style. When he explains it, everything seems so simple.

By Mohamed M S

•

Nov 19, 2023

I thoroughly enjoyed this course as a starting point for me in the field of machine learning. I still have a long pathway in my journey, so I will continue to follow the teachings of the great instructor, Andrew Ng. A big thanks to DeepLearning.AI.

By KAMASANI B

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Jul 16, 2023

Able to learn and co-relate all the concepts espicially I got to know why these many algorithms we need to predict something. I got to know about various real time use cases of these algorithms and now I am able to relate them with these examples

By Iuliana A B

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Oct 23, 2022

It's a really good start to understand better the neural networks later.

I saw a lot of courses about Machine Learning but was focused just on results (creating projects) rather than first understand very well what are you doing, like this course.

By Siddharth P

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Nov 2, 2023

It is one of the most basic to start course with so easy and simple understanding of one of the most widely used machine learning algorithms. I would recommend this course to anybody who wants to start with basic and slowly diving into this field.

By Malik T

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Jul 10, 2023

Amazing practical course. You get to see how those ML algorithms work under the hood. I believe I could never get such an easy intuition building explaination anywhere else. Huge thanks to professor Andrew Ng and his team for putting extra effort.