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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

AD

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.

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176 - 200 of 4,868 Reviews for Supervised Machine Learning: Regression and Classification

By Konstantinos Z

Jun 22, 2022

Very well structured course with great explanations in the appropriate pace. The maths are discribed clearly and the connection between algebra and algorithms (Machine Learning) becomes and easy process.

The assignments are in the indermediate level and the student should understand the theory/maths to complete them with 100% grade. They are all explained in the lectures videos but you need to think before you submit them.

Overall, is an upgrade of the previous course that is adjusted on Python and Jupyter Notebooks. 5/5 stars.

By Sam A

Feb 25, 2023

Fantastic learning experience. A novice with little or no technical knowledge can grasp the essence of Supervised Learning pretty rapidly. Yes, the coding aspect requires a bit of focus & practice no doubt. Just this course alone, will expand your ML knowledge & confidence to solid levels. You begin to get a good feel for the jargon of AI/ML. Highly recommended for newbies, execs and folks looking to make that career shift in a systematic way. Dr Andrew Ng is pure genius with simplicity at his core. Thank you Dr Andrew Ng.

By Daniel D

Jan 17, 2024

This course held significant value for me. While I typically appreciate all course content, what truly stood out was the exceptional communication skills of the teacher. Having been self-taught for a major part of my life and engaging in online courses, I've experienced a tendency for monotony that eventually diminishes my enthusiasm. As someone who also enjoys teaching, Andrew Ng's instructional approach reignited my excitement and instilled hope that teaching in such a dynamic manner can indeed be highly beneficial.

By Jeny S

Apr 28, 2024

The course is very well structured and presented and the concepts are so well explained that it is easy to grasp them and I had a lot of fun time getting a more in depth knowledge about ML. I am a Product Manager and was looking for a course which gives me a good overview about the mechanics behind ML but also for which problems it is suited and since I could not find a course for just PMs I decided to take this one and didn't regret my decision for a second. Every PM working on a ML projects should take this course.

By Terry M

Sep 29, 2023

Very well put together materials and instruction. I had taken Ng's earlier course on this topic ( using MATLAB/Octave ) about five years ago and I found much of the details to be rather opaque due to the highly vectorized ( albeit elegant ) code. Breaking all the components open explicitly using loops in Python gave me a more effective framework for learning in this version of the course. Ng and his crew have nailed it here - a 'goldilocks' treatment of the material - not too difficult and not too easy either.

By Harshil H V

Jun 11, 2023

First of all thank you very much Coursera and team and very big thanks to prof. Andrew for give the opportunity. I am truly Satisfy with this course and throughout this course i learn so many things for the basic which new for me at least.. i will use my this new knowledge for better future for me along with society. Once again thank you very much team Coursera and special thanks to Prof. Andrew Ng. I will also recommend my friend my college who want to learn more and more deeply.

Thanks &Regards.

-Harshil Vasani

By Sergey M

Jul 10, 2022

While I expected this to be simple Python refresher on the originally taken old course with MatLab/Ocatve, carefully reading into the code before executing it helped to conceptualie what I amd doing more. Also I really appreciate the interative demos, and especially those of gradient descent - they really add so much more to building your intuition -- make sure to click in the horizontal direction more anf more to the right and think why the results are changing in the way they do...

Thanks for this experience!

By Taiwo F

Jan 18, 2023

Thank you for the opportunity to take this course through financial aid! I enjoyed the way the course is structured including the optional practice labs and the programming examinations! Being a graduate student with lots of responsibilities, the flexibility of the course allowed me complete the course at my pace without which I would not have been able to complete the course. I would like to take the remaining 2 more courses in the series to give me a proper grounding in the Machine/Deep learning. Thank you!

By Shweta A

Jun 9, 2024

I, a 16 year old high-school student, am oddly interested by Machine Learning, never having learnt it in school prior to this. Even though, I lack quite a few skills and had to try hard to understand certain stuff being discussed , the optional labs throughout this course made it easier for me to understand what I was supposed to do and made everything easy. I particularly loved learning and the questions at the end of the videos made me stay motivated to be attentive. Thanks for the wonderful teachings.

By Maneesh S

Jun 23, 2024

It's a great start towards Machine Learning Career, with this course You'll be able to apply supervised machine learning to solve real-world problems with the industry standard and best practices. You will know the application of supervised learning and how to implement supervised learning techniques to get things done without too much efforts and this course provide you hands-on experience and visual learning to describe the concepts and logics that are required in problem-solving and domain expertise

By Priyadarshi S

Mar 16, 2023

This course was broken down to smaller understandable pieces beautifully. The in-video questions were great and the all the labs were very well designed to soak in all the theory components.

I come from a place where I am scared of Math. The way it is taught helped me embrace ALL the Math seamlessly!

Congratulations to the team!

From a place where I was wondering am I good enough for this learning, to completing the course, congratulations to me as well :)

Can't wait to deep dive into the next course :)

By Ali T

Jun 20, 2024

Really good. All the provided codes are amazing, and I found them challenging. The course offers a perfect insight into what machine learning is. Everything progresses as outlined in the program. The videos are not too long, which prevents the audience from becoming tired. The labs are great. The codes for interactive plotting are my favorites, and I spent a lot of time learning and viewing them. I'm happy to have taken this course and recommend it to everyone seeking knowledge in this subject.

By Riccardo P

Feb 23, 2024

A very in depth course that lets you dive in into the world of Machine Learning. I think people that already have some python knowledge will enjoy this course more. Optional labs also aren't really optional, unless you simply want to hear lectures on linear algebra and calculus. In parallel with this course I recommend studying and practicing on modules like pandas, numpy, and matplotlib - that let me enjoy way more the course itself, than what I assume it would have been without some knowledge.

By Ralph C

May 2, 2023

This is an excellent course for beginners in machine learning. Andrew Ng, a world-renowned expert in the field, teaches it. Andrew does a great job of explaining the concepts in a clear and concise way. He also provides plenty of examples and exercises to help you solidify your understanding of the material.

I highly recommend this course to anyone who is interested in learning about machine learning. It is an excellent introduction to the field and provides a solid foundation for further study.

By Paul A E

Jul 29, 2022

I really adore listening to Mr. Andrew Ng, especially when he tells something along this line, "You don't need to worry about that." This course is very beneficial for me, because I am training to become a Machine Learning Practitioner. What I learned from this course will really be what my job will be. Thank you Mr. Andrew and to the whole team who developed this course. You have developed in me the intuition I need to be an equipped and responsible Machine Learning Practitioner in the future.

By Muhammad F M

Oct 23, 2024

The course was pretty accurate, since being a new learner I didn't face any difficulties in understanding it as the course contents was very well described and precise. The optional labs was also very helpful, and the user friendly codes where you can play with it was quite exceptional. I looked forward to continue this journey with coursera in the field of Machine learning. My sincere thanks to our instructor Andrew NG as well to his whole team for such remarkable teaching and coding skills.

By Sayed H

Aug 31, 2024

I’m absolutely buzzing! Andrew has a way of explaining things that makes even the toughest concepts feel easy to grasp. The course is well-structured, with a great mix of theory and hands-on projects that helped me apply what I learned. I loved every minute of it! I feel more confident in my machine-learning skills and can’t wait to dive deeper into the field. If you’re thinking about taking this course, do it! You won’t regret it. Huge thanks to Andrew for such an amazing experience!

By Abdullah M

Aug 8, 2022

One of the best course on Machine Learning on the Internet. The teaching methodology of the instructor is amazing. He is humble and explains everything from maths to the implementation of models from scratch and also with the help of libraries. The lectures are so well organized and well planned. This course actually set up the fundamentals of machine learning very strong with all of the insights + maths + coding. It actually helped me a lot about what actually ML can do in reality.

By DR A J

Jul 3, 2022

Excellent course! Clear insight given by Andrew on complex concepts using simple examples. Alternative way of teaching this course would be getting into linear algebra and calculus, but then then learners would have missed practical aspects of this course. I liked the fact that the focus is on practical applications. Optional labs were very useful. They gave crisp demonstrations of concepts covered in the videos. As a beginner with python, I learnt a great deal of pythons as well.

By Amirreza I

Sep 13, 2024

The “Supervised Machine Learning: Regression and Classification” course is one of the best machine learning courses available, taught by the renowned Professor Andrew Ng. The course is notable for its comprehensive content, hands-on projects, and excellent student support, making it an incredibly informative and valuable learning experience for anyone interested in machine learning. The teaching methods make complex concepts simple and accessible. I highly recommend this course.

By MIQUEIAS P C

Jun 3, 2024

O curso é excelente, o instrutor tem uma dinâmica ótima de ensino, os questionários são de acordo com as aulas, os laboratórios mostram como transpor da teoria para a prática, sem sombra de dúvidas é o melhor curso online que eu já fiz, estou muito feliz com o aprendizado que venho tendo, e também em descobrir esse universo vasto e interessante que é o aprendizado de máquina. Já estou animado para colocar os conhecimentos em prática em tarefas do dia a dia e também na faculdade.

By Pasindu V

Jan 10, 2024

"Thank you very much for providing such clear explanations in the Supervised Machine Learning Regression and Classification course on Coursera. The clarity of your instruction greatly contributed to my understanding of the material. I appreciate the effort and expertise that went into creating this course. It has been a valuable learning experience, and I feel more confident in my understanding of regression and classification. Once again, thank you for your excellent teaching!

By Oscar A

Oct 2, 2022

Súper bueno, estaba esperando este curso en la versión de Python y me encantó. Se enfoca en entender gráficamente cómo funcionan estos algorítmos de tal manera que uno pueda jugar con las variables y los datos para ver visualmente como cambia el proceso de optimización. Una vez se entiende gráficamente se procede a ver las matemáticas detrás de esos algorítmos, las cuales entran más facilmente luego de haber entendido el proceso visualmente y didacticamente. Súper recomendado.

By Dr. P N

Aug 31, 2022

Very good structured and step by step explainations. The practical parts were not always easy but a very good proof of the individual undersanding.

After completion I will certainly have a look into the examples just for refreshing after finishing and gaining the full picture.

Very good, even my son studying AI did already know who the lecturer is: One of the best world wide.

What shall I say more? Learning from the best in the world is always a pleasure and a benefit forever

By Carlos J G

Jun 28, 2022

El curso es muy claro y bien dictado. Es me jor que el curso de achine Learning que estoy tomando también con NG. Recomendaría unos ejemplos mas trabajados y un curso previo de Python, pues esta es la parte que me costó mas trabajo. Aunque los ejemplos son en Jupieter, hay mucho software oculto que uno no puede entender y analizar. Lástima que por los costos no pueda continuar con los demás cursos, por eso quedo a la espera de la ayuda financiera.

Gracias

Carlos J. Gorricho