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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
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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451 - 475 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Lakshminarayana R M

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Dec 17, 2022

This course is really structured very well and the concepts are explained in the best way possible by Mr.Andrew. The math behind the algorithms is explained very well and was easy to follow because of the practice labs after almost every lesson.

By Christian L P

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Sep 13, 2022

Andrew Ng has an amazing way of presenting the information and ideas relevant to machine learning! I took this course over my summer break, and I am glad I did, as I learned valuable skills such as the basics of linear and logistical regression!

By Parto A M

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Sep 7, 2022

This course is amazing! I'd been watching Andrew's previous specialization for a while and I really wished it was with Python instead of Octave. When I realized he - alongside his colleagues - was releasing a new course, I immediately signed up!

By Dawit T

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Aug 26, 2022

I like this course because you can actually impelement the theory you have learned in the lab using python.And also a very clear and enjoyable explanation by Andrew. I would recommend this course to any one who want to start in machine learning.

By Manoj H

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Mar 19, 2024

This Course Designed for Beginers and also He explains the behind mathematics in simple way that makes me to understands the concepts and as well as the it works. in my point of view to start career ML go through is Course / Specializaton 😊😊😊

By Ahmed G E

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Jan 18, 2024

Great course, I had studied ML before in university but didn't understand the core concept and how does the functions really works under the hood, Andrew explained in an excellent way either the coding part or from mathematically implementation.

By Trent P

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Jun 13, 2023

Excellent course!! The training was thorough, concise, and taught in a manner that was easy to absorb. Andrew's friendly manner of teaching helps to make each aspect of the subject matter a bit softer around the edges than it might otherwise be.

By Aehtajaz A

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Apr 8, 2023

I recently took this course and found it to be an excellent introduction to the fundamentals of supervised learning. The course is well-structured and provides a solid foundation for understanding key concepts and techniques in machine learning.

By Yiwei J

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Feb 21, 2023

Explicit and intuitive explanation. The most incredible part is the setting of the corresponding jupyter notebook files which serve as both practical demonstrations and notes. I would give 5 stars to the course and keep going to the next course.

By Omx E

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Jun 29, 2023

It help me understand some topics I was confused about, such as how backpropagation actually worked rather than just using it blindly . I also learned the importance of cost functions and choosing a good alpha parameter to find a local minimum.

By Alex L

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Dec 11, 2022

Great introduction to prediction models using the mathematical formulas, plotting data and exercises to give you deep comprehension of basic concepts of machine learning. you will need just a basic knowledge of python sintaxe and data structure

By Prejith S

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Nov 13, 2022

Coming from a health science background, I found this course very useful as it was able to guide me through the basics with very lucid explanations and examples. Looking forward to completing the specialization and learning a lot of new things.

By Subakaran R

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Oct 25, 2022

Beginner friendly, thank you for this course. I have a civil engineering background with no or very little programming knowledge and about ML and I never had to refer something outside of this course materials because of lack of understanding.

By alireza d

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Sep 13, 2023

The explanations were simple and easy to learn, and optional labs were also very helpful in understanding the concepts studied during the course. Looking forward to further courses in this specialization and also deep learning spacialization🤓

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 An D

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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.