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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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576 - 600 of 4,869 Reviews for Supervised Machine Learning: Regression and Classification

By PABLO N G

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Jan 22, 2023

I was searching for a practical and theorical course and this course has everything i wanted, the teacher is incredible good at submit clearly the information and complicated statements are explained in a manner that all people can understand.

By Rafał

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Aug 17, 2022

Absolutely loved this course. I knew the basics of Machine Learning, so this part was a great reminder for me. Also, a big thumbs up for writing everything by hand - it let me understand gradient descent theory much more than imported library.

By Queen E

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Aug 15, 2023

This course is great for beginner, but before learning anything on this course you must have some math knowledges about linear algebra and calculus in order to understand deeply about machine learning algorithms. Besides, everything is great.

By Yasir S

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Jul 31, 2023

This course is perfect for people wanting to get started with machine learning. The approach to the topics is clear and easy to understand and almost no prior knowledge in machine learning is needed. Highly recommended for complete beginners.

By Hajra k

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Jul 5, 2023

Very well structured theory and explanation, but the lab part is not very elaborative and easy to implement.

The codes are written u just have to run them and then later in the test, writing and implementing the code and logic gets difficult.

By A.D. J

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Jul 21, 2022

Prof. Andrew Ng is an amazing instructor with rich experience. I would like to be grateful to the entire team behind its realization. This course provides a balance between the theoretical aspect and the programming aspect. Highly recommended

By Shantanu

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Jul 15, 2022

The course covers detailed parts of explanations. Sir Andrew Ng and his team has developed this amazing course for learners. Algorithms are taught along with statistical content which can be hardly seen in teaching methods of any instructor.

By Padmanabham S

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Jul 14, 2023

I really happy for purchase of this course because I learn some of the important and fundamentals of machine learning. instructor tells difficult topics in very easy. I recommend this course for any person who want to learn machine learning.

By Jeremy S

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Feb 2, 2024

Sometimes the magic of learning occurs when its the right teacher and the right subject taught in the right way, at the right time for you. This course was brilliantly put together, maximizing the chances of the magic of learning occurring.

By Carlos C P

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Nov 1, 2023

Andrew explains with an amazing clarity. I absolutely recommend this as an introduction to machine learning. I appreciate that the course was focused in helping with the understanding of the topics, rather than with details of calculations.

By Emerson

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Oct 22, 2023

It has a lot of mathematics, however grad to the way the course is structured it is possible to learn as course progressing and the coding part is well elaborate helping non-math guys like me to be able to learn and understand the concepts.

By cheuk y w

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Apr 11, 2023

This is a course suitable for people who have basic coding experience and would like to go further to learn machine learning. The instructions from Andrew are very clear, every single material is useful.

Great thanks to Andrew and his team!

By Dujo B

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Jan 27, 2023

I really like the approach to learning that Coursera offers, this was my first course, but certainly not my last. The best part for me is the practical application of knowledge, which is done at the end of each chapter in the form of tasks.

By PRINCE J K

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Jul 9, 2022

This course is just awesome. Andrew Ng gives you the underlying intuition of the two most popular supervised learning algorithms, linear and logistic regression. I got to understand and implement the mathematical models of these algorithms.

By Bruno P F

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Nov 8, 2023

It was very nice ! The concepts are very well explained and since I'm familiar with calculus and linear algebra I had no problems understanding. Most of my work was concentrated to learn Python, but the practical tests give a lot of hints.

By Khurram U

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Nov 2, 2023

This course helped me to understand the basics of regression and classification problem and laid a foundation for me to keep learning and exploring the Machine learning and AI field. Thanks to Coursera and Andrew NG for helping me to learn

By vrushal b

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Oct 23, 2022

Very easy to follow along and understand while providing plenty of examples to make the concepts clear. The subtitles were inaccurate at times but apart from that it was a great course to set a foundation for my machine learning knowledge

By Christopher G S

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Jun 14, 2024

Very well structured course, that presented in a way that builds your intuition for the subject. In addition to the excellent lectures by Professor Ng, the Jupyter notebook labs help to reinforce the learner's understanding of the topics.

By Nazib A

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Mar 1, 2023

Truly the best course for a beginner to get started in machine learning. The core basics are taught in a very fluent way which will help anyone with a little bit of knowledge in math and python programming get started in machine learning.

By Peter B

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Oct 17, 2022

GThe BEST COURSE ! Must see everyone who wants to start learning ML/AI - Basics of Supervised learning, Linear Regression, Gradient descent, solving clasification and regression problems, Python implementation also with vectorisation :))

By EBB

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May 20, 2024

This course has helped me gain insights into ML concepts without requiring me to do any mathematical problem-solving. This course and the subsequent ones will definitely aid my PhD dissertation writing, SO I REALLY RECOMMEND THIS COURSE.

By Kabeer2004

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Feb 17, 2024

Absolutely amazing. Covered everything well and explained everything to a great extent. Learnt a lot from this course and I am very grateful to Dr Andrew Ng, Stanford Online and the Coursera Team for creating and maintaining this course.

By Seda B

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Dec 6, 2023

I learned a lot with this course, thanks to the instructor Andrew Ng with Stanford's qualified course materials. I think I have laid solid foundations in the field of machine learning. It will be much easier to build things on top of it.

By Stefanie S

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Nov 8, 2022

this course is really excellent. The theoretical explanations are really good. I could follow easily. The programming part is a bit difficult if you don't have experience in programming. A bit more teaching on this would be really great.

By Muhammad A K

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Mar 16, 2024

It was amazing journey with andrew. I have never seen such an amazing teacher in my entire life. He taught each concept mathematically and gave proofs which is why I love this course as well as teacher. Thanks Andrew and Deeplearning.ai