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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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576 - 600 of 3,863 Reviews for Supervised Machine Learning: Regression and Classification

By Shirshak A

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Jul 2, 2022

Andrew NG is the best teacher of all time. It is because of Andrew I am so much passonate about AI and Machine Learning. I really want to mee my Guru Andrew ng and Thank him for Teaching us. Thank you andrew sir🙂

By Mohamed A

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Nov 9, 2022

very good course. I understanded gradient descent and used it for linear regression and logistic regression. I understood the meaning of overfitting and underfitting and regularization. the labs were very helpful.

By Meiliang P

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Oct 10, 2022

I really enjoyed this course!!! Andrew Ng is a wonderful professor. explained things very well. and I loved the lab. apply the concepts with codes. learned a lot in this course and looking forward to the next one

By Aravind S D

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Aug 13, 2022

It's a refresher for me and I learnt from one of the best teachers in the world and I admire to do the same and pass the knowledge. I can't forget who taught me the best and that's Andrew ng. Thank you Andrew ng!

By OM B 2

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Jul 28, 2022

Excellent course!! must be taken by an AI enthusiast. The concept is explained in a clear and crisp manner. The content is organised in such a way that while going through it, we will master concepts step by step.

By Matt F

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Feb 4, 2024

The course was very easy to follow. The concepts and math were also easy to follow, even for someone like myself who has spent a lifetime programming, but gets overwhelmed whenever I look at statistical formulas.

By Naveen R

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Dec 28, 2023

Great introduction to regression and classification with machine learning applications. The course is more accessible to those who have some background in calculus and python coding but its not a limiting factor.

By Matahari R

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Aug 31, 2023

Great course from Andrew and Stanford, all materials are explained clearly. even someone who is not familiar with math can take this course because Andrew abstract them and only explain the necessary one. thanks.

By Sandip P

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Aug 1, 2023

This course is very awesome! I am so excited to share that this is my first course in AI, this course is beginner friendly and actually boosted my interest in AI&ML. I am so happy and satisfied with the course :)

By Ahmad R

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May 29, 2023

Superb course:

Amazing Videos, Quizzes, Optional Labs and Assessments. Liked the content very much

*Would recommend to decrease the length of practice labs, note :not the number of exercises.

Thanks Andrew n team :)

By Mayuresh C

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Jan 31, 2023

Really this course helped me to learn new stuff about Machine Learning and more importantly mathematical side of ML algorithms. All the optional labs and practice labs were informative and interactive. Thank You.

By rahul k

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Jul 17, 2022

Topics covered are very useful and can be implemented in real life. Clear and Precise explanation of each topic. Pace of this course is quite good. Visualizations made it easy to understand the basic principles.

By Dibyansh G

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Jul 22, 2023

I would like to thank Prof. Andrew Ng for their role as a teacher in my learning. The course is designed very well so that a beginner like me can also learn demanding courses like machine learning. Thank You!!!

By Jeffrey B

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Feb 24, 2023

Good course, very easy to understand, and the labs give you some good visual aids to help absorb the material. Overall a good experience, looking forward to the rest of the Machine Learning Specialization track.

By Boyang H

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Jul 15, 2022

Although This should be deemed as an Intro Intro Course to Machine Learning, you can not really find a better way to dive into the field. Andrew Ng is one of the best professors you can have in your whole life.

By Daniel J R B

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Jul 14, 2022

I liked this course, very didactic and with many practical labs where you can experiment and understand all the math behind the ML models, and also learn all the basic programming to implement them using Python.

By aakash b

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Jun 23, 2022

In the world of today when most people are pursuing courses for an embellishment of their CV, this course shows that the best minds are those which focus only on learning without worrying about the consequences.

By Rajat D

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Sep 9, 2023

I feel really happy and lucky to learn from Professor Andrew Ng. I love how he teaches, it's like watching an interesting movie. Now, I'm excited to start the next course in the Machine Learning specialization.

By Sudip S

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May 5, 2023

I was a receiver of financial aid for this course and it's a brilliant course to get started in the field of machine learning. Everything is superbly articulated and that makes the study simple and hassle free.

By leslie h

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Jan 29, 2023

just a really well paced, non bloated curriculum, for what is an extremely hard subject. I had to do everything twice to really get there, especially with the code, but this of course is not unusual in learning

By Devinder K

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Jul 11, 2022

Very well designed. I am glad that I joined this course. Video embeded questions and quizzes really helped in clearing the concepts.

Lab practices were an added bonus to pace up our learning.

Thank you Andrew Ng

By Julio L

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Oct 27, 2022

Excelente curso. El material es básico, apto para principiantes. Las lecciones son intuitivas y fáciles de seguir. Los laboratorios opcionales permiten revisar detalles de la codificación de los algoritmos.

By Azaz B

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Oct 9, 2022

The course was amazing. Andrew Ng is my most favourite instructor at online platform and I really enjoyed the course. This course has boosted my confidence and thrill to enhance my career in machine learning.

By Samuel Q

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Aug 2, 2022

Lectures are very well made. Support material (jupyer notebooks) is excellent. Awesome course. Great way to brush up on the basics and its also nice to hear Andrew's enthusiasm and passion for machine learning

By Vardan M

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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