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

4.9
stars
18,061 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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501 - 525 of 3,771 Reviews for Supervised Machine Learning: Regression and Classification

By pl

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Jun 6, 2023

Andrew's focus on imparting the intuition and going through some of the math has been a significant step forward for me. This is not my first online course but the most remarkable given the focus on some of the math/theory/intuition.

By BCSF20A007-QANBAR I

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May 27, 2023

This course is really really helpful as I learnt the basics of Machine Learning in much easy way and practicing the algorithm by my own. and Now Looking forward to learn something more interesting from the one and only Sir Andrew NJ.

By Daniel Y

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Apr 16, 2023

Andrew is such as great teacher. I've taken a few different machine learning courses but never had one explained this clear for some of the fundamental theory and math behind it while also go as deep as this course at the same time.

By Nitin C

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Mar 6, 2023

The course was fantastic. Cleared all my doubts about Machine Learning implementation. Now I stand much confident regarding the concepts and coding exercises, including the inner workings of any classification or regression problems.

By Saomyaraj J

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Mar 6, 2023

This will surely help me in near future to create and develop many more such models. Coursera is a well-known and reputable online learning platform that offers a wide range of machine learning courses taught by experts in the field.

By Chenyi L

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Jul 31, 2022

very glad to see a lot of programming examples in Python from the course, which is really helpful for learners like me who is new to Python and speeds up learning ML and at same time learning programming in Python. I love the course.

By gishe t

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Jun 19, 2022

Well-designed course and the concepts are to the point. The instructor was very knowledgeable. Most important of all, the instructor is encouraging. The sample codes are very helpful. However, the content is very short, only 3 weeks.

By Tobias M

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Oct 30, 2023

Really good course design! Andrew Ng gradually builds intuition, follows up by the mathematical details and shows practical tipps for applying the concepts to your own use cases. An absolute pleasure to learn about machine learning!

By Ben

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Dec 5, 2022

Having taken a similar statistics course at university, I found the course quite easy to understand from a conceptual point of view. The real benefit came with seeing the first principles implementations of these concepts in python.

By Houston M

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Jun 28, 2022

A great update to an already brilliant course. This is where all aspiring data scientists need to start. Even practitioners will gain something from using this course to revise concepts forgotten due to the use of pre-made packages.

By Gaurav S

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Mar 10, 2024

Words fall short. Complex concepts explained in simpler terms and then articulated in domain specific terms. Interactive Labs don't let feel overwhelmed. Prior Knowledge/exp of various graphs( e^x , logx , 1/e^x ), really helps.

By Shafqat A

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Dec 14, 2023

This is my first course about machine learning and after finishing it, I have decided to complete all the specialization courses and become ML expert. This is the best course I have ever attended, and Andres is the best Instructor.

By Manfred H

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Jan 29, 2024

This course is a fantastic starting point for everyone who wants to discover AI and Machine Learning. Andrew is great to listen to and makes the material fun to learn. I'm already taking the next course on AI inspired by Andrew.

By Shiva K

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Dec 3, 2023

Explained in detail and easy to follow the pace, I thank Dr. Andrew Ng. I thank all those in designing this course very well. Looking forward to learning more in my upcoming courses. A huge thank you to Stanford, DeepLearning.AI.

By Nicholas J F

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Jun 8, 2023

Wow, What an amazing course. It is amazing because it starts from the bottom and goes through small steps that anyone can follow. It builds your knowledge one bit at a time, until the end you have started to understand this field.

By Akhmetbek S

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Aug 11, 2022

I am very grateful to the instructors of this course! Thank you very much! Especially for updating the course. I really liked the course! I got a lot of useful knowledge! All concepts were explained very simply and systematically!

By Kaleb M A

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Jul 6, 2022

a very interesting course. however, I have one comment. the programming assignments are done with a forloop. Please change it to a vectorized version (for logistic regression - for programming assignment about logistic regression)

By RUBANKUMAR D

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Jul 12, 2023

Exceptionally done, One of the best-constructed courses that I have undertaken. Thanks to the instructors and Coursera for this joyful learning. I encourage other peers who want to learn machine learning to start form this course

By Lampros V

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Mar 25, 2023

The best course in Machine Learning I have ever seen. Absolutely complete. I have already an MSc in Data Science from a top university and I also work as a Data Scientist and I can say that the benefits from this course are huge!

By kieran b

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Mar 5, 2023

Great experience, things are very well explained and learning is reinforced through practical Python implementation. Genuinely feel like I have learned the practical application and reasoning behind regression and classification.

By Surendra K S

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Sep 20, 2023

Excellent course for beginners. Prof. Andrew explains all the concepts in detail. All the assignments and quizzes are also well-planned. Enjoyed the course and recommend to everyone who which to learn basics of machine learning.

By Alwoch S

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Aug 11, 2023

I like the fact that Andrew Ng introduces everything from first principles despite there being already made algorithms from packages like sci-kit learn. I really loved this course and its totally worth every one's time and money

By Iman E

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Mar 10, 2023

This Course is the best Machine Learning Course I've ever seen. Easily Understandable topics and explanations is perfect. Thanks Coursera, Deep Learnin.AI and Specially Andrew NG for providing such enchanted source for learners.

By Sajeethan G

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Nov 14, 2022

He taught every single topic to me very clearly. Even he is explain every single mathematic formulas also. If anyone here without any knowledge of Mathematics or Statistics they also can catch up quickly with kis teaching style.

By Vivek J

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Oct 3, 2022

The course is extremely well delivered. Everything is presented and communicated such that it facilitates fast learning without causing cognitive overload. Great job by Prof Ng and all his associates who worked on this course.