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Back to Supervised Machine Learning: Regression and Classification

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

4.9
stars
23,866 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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676 - 700 of 4,720 Reviews for Supervised Machine Learning: Regression and Classification

By Ebrahim U

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Jul 31, 2022

This course developed my skills and knowledge of Supervised Learning Algorithms using Python language, and it is a great and fun way to explain and implement. A word of thanks is not enough for this wonderful effort

By Mirnajaf A

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Jun 27, 2022

This course is so cool because not only it teaches the detailed concepts of Machine Learning Algorithms but also provides us with practical part with modern programming language Python which makes it extra amazing.

By Tuấn N B

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Jul 18, 2023

From my point of view, this course provides overall knowledge and concepts about machine learning. It also easy for beginners who don't know much about Math or Statistics. Overall, good course, worth for prices <3

By Abel B

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Jan 20, 2023

The training is very interesting. However, it is better to show us how to carry out the classification using python code (focus more on practice than theory and formula) rather than leave the practical as optional.

By ALEX M F A

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Aug 9, 2022

Bien explicado, base simple en matemico entendible para un usuario basico. El curso me ha ayudado a tener un panorama ams grande de la aplicación del algoritmos de machine learning en la industria que me desarrollo

By Andrea M

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Aug 5, 2022

This course was really helpful for me. I had previously studied AI and ML at University. Anyhow, it gave me a very refreshing and new point of view, which has aided me to get a clearer idea about some key concepts.

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 Souvik R

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Oct 6, 2024

Very fundamental and great introductory course for someone outside the specialization. I hope to use the knowledge gathered during this course in characterizing various novel/alternative infrastructure materials.

By Thwe T W

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Jul 26, 2024

Even I am not good at coding and no background of Ai. The teaching method of Prof Ng is really perfect and easy to understand. And, making a short video with short quizz forces to improve and stuyd more and more.

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 Janardhan

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Oct 16, 2024

I recently used your service for help with my course materials. Here’s my feedback:What I Liked: Your interface is easy to navigate, and you provided quick responses to general questions, which was very helpful.

By MOHAMMAD M B

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Sep 24, 2024

I’m amazed at how easily Professor Andrew Ng explained such a difficult topic. To borrow his words, 'don’t worry about it.' Someday, if I become an educator, I hope to inspire the same confidence in my students.

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.