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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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176 - 200 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Md. A M

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Jun 24, 2023

I highly recommend this course to anyone interested in learning about supervised machine learning. The instructor, Sir Andrew Ng, does an excellent job of explaining the concepts in a clear and concise way. The course covers a wide range of topics, including linear regression, logistic regression, decision trees, and support vector machines. There are also several hands-on projects that allow you to apply the concepts you learn in the course.

By Ronald B M Z

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Apr 4, 2023

If you're looking for a comprehensive introduction to machine learning, I highly recommend this course. Not only does it teach you how to hard code linear regression for regression and logistic regression for classification, but it also covers techniques to avoid overfitting by adding a regularization term. This course is essential for anyone interested in delving into neural networks, as it lays a solid foundation for further exploration.

By Soumyadeep S

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Feb 22, 2023

Nothing has changed from the previous course of Machine Learning. Equivalently fluidic and exciting like the previous course. Adding python has helped a lot to progress through this course. Mathematically implementing MATLAB/OCTAVE for the functions was slightly difficult but python makes the work a lot easier. Thank you for this wonderful course. Looking forward to learning a lot more from the remaining 2 courses in the specialization.

By Mohamed A A A E

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Mar 14, 2023

I am a complete novice with a medical background and no programming experience whatsoever, but after completing this course I have a clear understanding of this topic as well as the code required to implement such tasks for similar data sets. Andrew is a fantastic teacher! I have moved through other similar youtube videos on this subject and in comparison I find this course excellent as it explains the concepts clearly and concisely!

By Sergio R M R

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Mar 25, 2024

The information was divided into interesting and concise videos, and everything shown was explained in order to be understood. It definitely explains the knowledge greatly and Andrew is a versed speaker and teacher! Depth was missing in regard to the fundamental mathematics and statistics, but it is not a focus of this course, but it would be good to still have access or additional information for people who are interested in such!

By Namhoang

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Sep 2, 2022

Though the course is divided into only 3 weeks but I felt like completed a 4-week course, since there are many videos and practices(mostly optional). As usual, the explanation and instruction of Andrew Ng. is really amazing, it should feel like lots of abstract concepts and terms but he did a great job breaking it into smaller parts and show the learning how things are done. Thanks Andrew Ng. and team for making such a great course.

By Willard R

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Aug 24, 2022

This course is surprisingly excellent. I find the lectures by Prof. Ng to be easy to follow, extremely informative, and occasionally challenging. I do appreciate this newer version of the course that uses jupyter. I tried the older version with octave and I got bogged down dealing with the software installation issues, and never finished that version. I would highly recommend this course to anyone interested in machine learning.

By Mohab A

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Aug 27, 2022

The Course is really Awesome and it has improved too much from the old one, the graphs and the lab were very helpful and gave me the intuition of all the complex equations and models used in the course, Also the teaching method was really great for beginners and the instructor didn't jump on topics but was moving step by step, so overall i really enjoyed the course while learning and i'm looking forward to start the next course.

By Evan M

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Mar 6, 2023

Very advanced class for someone without python knowledge. It took me about 3x as long to understand and complete this as my expected date. Eventually, I was able to understand almost everything. Pay very close attention to the lab coding because without warning you;ll be asked to replicate that code even though its never mentioned in the videos. This threw me off for awhile but the information is great and the teacher is great!

By Williamberg F

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Jan 20, 2023

This course is just the right way to get started with machine learning. Andrew's friendly way of explaining complex concepts makes it much easier to understand. The assignments aren't so punishing that you can't progress, but not so easy for you to pass them without actually getting a grasp of what is being taught. I've also found the tips in the practical assignments really helpful when needed. Totally recommend this course!

By Animesh G

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Dec 3, 2023

This has been a phenomenal course and has immensely helped me in my journey learning about AI and ML. Though people often struggle with learning algorithms and the various terms related to ML, this course is far different from others as it can be easily understood by everyone who learns attentively even not familiar with ML. If you're just beginning your journey in ML, I highly recommend this course over thousands of others.

By Siva S

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Nov 8, 2022

This is a great course! Dr Ng takes you through the required concepts in a manner that makes it easy to understand. Of course it may sometimes take a couple of reviews to really get to the intuition of it all. Also I feel that knowledge of basic python is a must to do this course. I would not have been able to get through it without having that foundation. Can't wait to start the second course of the series! Thank you Dr Ng!

By Daniel K

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Jun 15, 2023

Excellent course, I've been dabbling in Deep Learning analysis for the past few months but wanted to gain a better understanding of the whole process and elected to take this course. I strongly recommend this for anyone who wants to dive deeper into machine learning algorithms, this was a wonderful experience getting familiar with all the math behind the algorithms themselves and I'm excited for the following two courses!

By Khiran G

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Dec 20, 2022

A best course for beginners , intermediate students. It's great that it contains labs on which one can work, play with it .

Labs are visually good to help understand concepts better and teaching by course instructor ANDREW NG is absolutely nailed to the ground.

Last but not least a recommended course to watch if you aspire to become ML engineer

--Thank you Andrew Ng sir and whole team who contributed in designing this course

By Abdur R

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Oct 25, 2023

After working in the industry as a web developer for one year, I made the decision to transition into a career as a machine learning engineer. I chose to take this course as my initial step in my machine learning journey, and I have not been disappointed. I have learned all the fundamental concepts thoroughly, and I must say that Andrew Ng's teaching methods exceeded my expectations. Thank you for making this course.

By Daniel T R

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Dec 20, 2023

I am amazed at the ability of the instructor to convey the intuition behind the methods and at how much effort and though has been put into the materials for course. The mix of coding and methods strikes a perfect balance for anyone with basic background to get started. I sincerely enjoyed this course and absolutely recommend it to anyone, no coding experience, is needed and some basic math background will suffice.

By Amirhossein A

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Aug 28, 2022

Abseloutly amazing course, Andrew NG did an amzing job on teaching and also explaining concepts and formulas, it could get better if you shared some liks of usefull material about the theoretical machine learning for example I'd like to know why we use the linear regression model as the variable of the logistic regression model(sigmoid function). thank you for this amazing course sincerely Amirhossein Abolhasani

By ELAYAPERUMAL D

•

Apr 2, 2023

Hi all,

I am researching object tracking using machine learning techniques. This course gave me a clear understanding of Machine learning methods such as regression and logistic regression. The lecture videos and assignments helped me to think and understand clearly.

I would recommend this course to beginners who want to understand machine learning concepts clearly in regression and logistic regression.

Thank you

By Lena E

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Nov 8, 2022

Great explanations for all of these difficult mathematical formulars. I understood everything, but there is definitely  enough to repeat over and over again to really get it . Need a little break before participating in part 2 and 3, but I´m looking foreward to it!

I absolutely loved the exercises, it helped a lot to test and try out things and to see, how easy some parts really are, if you take them separat.

By Arnak P

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Jul 22, 2022

Excellent course. Thanks to organizers, managers, lecturers, developers, etc. It was very interesting, very funny and very helpful. I am a senior data scientist and delivering ML lectures in different universities. In spite of that, I have found this elementary course quite valuable. It is always recommended to rethink known topics and ideas and see how other specialists are delivering those important concepts.

By Daniel W

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Jun 29, 2022

Thought it was great and felt it was much more beginner-friendly than the previous course. The programming aspect of it can be tricky if you've never had programming experience, so I highly recommend you learn the basics of python (variables, for-loops, functions, etc.) before taking the course. If you have some brief background in ML and programming you should be able to finish this course relatively quickly.

By Tobias K

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Oct 1, 2022

Very cool course, Andrew is not only a brilliant mind but also a natural teacher. After I have taken both this version and the previous (Matlab) version of the course, I feel that the assignments and quizzes are easier than in the previous version. However, thanks to the numerous Jupyter Notebooks provided, there is plenty of opportunity to dive into the matter in some more depth, and to learn something new.

By Sasa G

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Jul 12, 2022

It's a great course for the beginners in the area of machine learning. You should have some Python basics. Optional labs are great and you can learn a lot alone, if you have desire to investigate a bit their implementations. Final graded labs are also not so hard. I would maybe add more question to quizes and more exercises, examples and datasets. But it's, as said, still a really great course and thank you!

By Muhammad K A

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Aug 6, 2023

It was a delight for me to take the "Supervised Machine Learning: Regression and Classification" course lately, and I must say that it was a really educational and engaging experience. I couldn't have asked for a better introduction to the field of machine learning than what I received in this course. The instruction was provided by Sir Andrew Ng, a famous specialist, and was nothing short of extraordinary.

By Algifari s

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Feb 2, 2023

Andrew Ng is really POSITIVE teacher😭😭 the way he teach us is just like truly motivative and encouraging, even the course has a "heavy" math since the beginning. I really recommend this course for people who start to learn ML, but just be carefull because you really need a STRONG INTUITION about Graphic system, Gradient, derivative and ABSOLUTELY a solid-basic UNDERSTNDING about LOOP & function in Python.