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

4.9
stars
24,873 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

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

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.

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726 - 750 of 4,870 Reviews for Supervised Machine Learning: Regression and Classification

By Vardan M

Jul 8, 2022

This course is next level gives all the intution about machine learning algorithms including linear and logistic regression and also go throug one of the most popular machine learning library named Scikitlearn

By Pulkit M

Sep 3, 2023

Fantastic course for anyone who is new to ML. To make the most of the course you will have to spend some time studying the math concepts introduced in the course and by practicing Python code on your machine.

By homi c

Mar 9, 2023

The course is so great that I finish it with little effort, but if the course can publish materials like pdf and notes, things will be better. I also wish that the captions can be revised to be more accurate.

By Avi W

Oct 9, 2022

Clear and approaches from the mathematical point of view, which allowed me to better understand, rather than approaching from the ML point of view, which includes its set of unique and often confusing terms.

By Rafael B

Sep 26, 2022

Quizzes could be harder, but I really enjoyed how the course teaches you the underlying mathematical aspects of each discussed model and showing why it works instead of simply plugging a data into a blackbox

By Luis F O

Sep 12, 2022

Loved this course! I took the original course like an age ago, and now this one as a refresher. The content is great, Andrew NG is an awesome instructor, and the quizzes, assignments and labs are just right.

By Bruno P

Jun 29, 2022

Great. For me, this course was a personal milestone, where I was able to understand the mathematical roots of machine learning and at the same time its implementation without necessarily decorating libraries.

By Daksh

Sep 2, 2024

Loved the way AndrewNG sir explained every concept and the underlying Maths behind all the ML algorithms. Probably a bit more emphasis could be there on scikit-learn but still the course content was awesome.

By Fahmid F C

Jun 27, 2024

Although this course was a bit slow, the concepts are explained with a lot of effort. If done properly, you can build a very good intuition about the basic learning algorithms in supervised machine learning.

By Madhavan R

Jan 10, 2024

I love the fact how Andrew buildings the confidence slowly in coding and the instruction material, optional labs and final exam are top notch. Glad I stuck with it and completed the course. Learned a ton!

By Mauro G P

Apr 17, 2023

Realmente muy detallado. Bien explicado, claro y buenísima la calidad didáctica. Sería genial poder descargar TODAS las filminas de las presentaciones o que haya un PDF que acompañe los contenidos del curso.

By Anshul S

Mar 26, 2023

Awesome course, very happy with the contents. Would like to thank the course instructor Andrew for he explains the complex concepts in so easy and digestible format that everyone can understand it in one go.

By Franz Z

Mar 16, 2023

Hands off the best supervised machine learning course out there! I have learned substantially when it comes to the algorithms and optimization techniques used for both regression and classification problems.

By Polusani S

Feb 16, 2023

This course is very insightful and Andrew Ng is good at explaining the intuition behind mathematical equations. This course made me fall in love with Maths, Calculus and Algebra. It's a very valuable course.

By José Á A B

Dec 15, 2022

It is amazing how complex concepts and equations were taught in very simple and pertinent ways, stating at every step which understandings were essential and which weren't, etc. Overall, an excellent course.

By Deleted A

Nov 13, 2022

Detailed explanations were excellent. I was able to follow them and get an true understanding of some very powerful ML techniques. Quizzes were just right. Code examples and assignments were very well done.

By Anton

Aug 1, 2022

Great course for complete beginners. I would recommend something different for people with technical backgrounds though - this one is too simple (although I do understand that it is not a bug, but a feature)

By Ashraf H

Jun 26, 2022

It was a great learning experience! Thanks to Dr. Ng and to everyone who contributed to creating this wonderful course. The content was very accessiable and made learning such a complex subject, quite easy.

By Ittai H R

Nov 21, 2023

I think the course should have videos about coding. This course required a strong foundation in coding. Without prior knowledge of coding, it would have been challenging to successfully complete the course.

By S S R

Sep 22, 2023

The course is really great regarding the theory the implementation part can be more focused on using an existing library such as scikit-learn but overall is was really informative and a 5/5 worth it course.

By Jorge S

Sep 12, 2023

Excellent! Professor Andrew is one of the best professors I have ever seen in the field. He explains in a simple way a lot of complicated maths and statistics concepts, even for non-native English speakers.

By Hetarth J

May 31, 2023

This course builds the fundamentals of Linear and Logistic Regression in a Machine learning enthusiastic student. It gives a great theoretical and practical implementation of Linear and Logistic Regression.

By Indyra O

Apr 13, 2023

I have no prior knowledge in programming and had basic math skills. Even though it went a bit slower then projected, I could still manage to complete this course and understand the core concepts. Thank you!

By Sashka W

Oct 22, 2022

One of the best online courses I have ever taken! Excellent real world examples and clear + logical explanation of concepts in a tangible way. 5 stars - would recommend to everyone interested in the topic.

By Hans-Henrik F

Oct 12, 2022

Andrew Ng is a superb educator, he takes you gently throught the ML basics with strong intuitive reasoning where the math could be hairy for some. This balance is fine and Ng is a master in this fine art!