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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

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.

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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276 - 300 of 4,718 Reviews for Supervised Machine Learning: Regression and Classification

By عبدالله م م ع

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Mar 29, 2023

this course was so impressive to me , from building up the intuition to practical labs as well as the optional labs , I have visited the concepts provided in that course before , but the way I understood those concepts in this course was new to me and added a lot to me , thanks for providing such valuable information in a very simple systematic way. Special thanks to Andrew :D

By Virender S

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Aug 5, 2023

This course is a very good start for beginners in the field of ML and AI. Concepts are explained very well by Andrew himself. Best part of the course is how Andrew tries to develop the intuition behind different algorithms. I had been reading some books to understand these concepts but it was hard. Now, I think, I have the foundation to understand different books on these topics.

By Ghulfam H

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Jan 23, 2024

Andrew Ng's "Supervised Machine Learning: Regression and Classification" is not just a course; it's an immersive learning experience. It's a well-structured roadmap, a friendly guide, and a spark for your journey into the exciting world of machine learning. Highly recommended for anyone who wants to understand, apply, and ultimately be inspired by this transformative technology.

By ZAIN Z

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Jul 12, 2023

Overall, the "Supervised Machine Learning: Regression and Classification" course on Coursera is highly recommended for anyone interested in mastering the concepts and techniques of supervised learning for regression and classification tasks. It will equip you with the necessary skills to apply these techniques to real-world problems and make informed decisions in various domains

By Saif U R

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Aug 16, 2022

Thank you Prof. Andrew, Eddy Shyu, Aarti Bagul, Geoff Ladwig, and all the members of the team for a wonderful course. It is very easy to understand and, at the same time, enjoyable. And, deeplearning community is also very supportive. I got stuck several times in the course and the community help me to go through that. Highly indebted to all of you. Hasta la vista in course 2.

By CESAR D M C

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Oct 6, 2022

Durante el desarrollo del curso vas acercandote cada vez mas a problemas reales con la ayuda de herramientas que se utilizar en el desarrollo de ML. Te da el conocimiento basico y va profundizando en los conceptos sin saturar la leccion. Las notebooks son muy agradables y ayudan mucho a practicar la teoria, no cabe duda que es el mejor curso de ML con el que puedes comenzar.

By Krishnakanth G V

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Sep 22, 2022

its a good experience through out the course and keep my expectations to the mark with the coverage of topics in this specialization . I develop myself to find more about field of Machine Learning concepts around the world in my window.thanks to that , I got some confidence to say that I aware of what is supervised ML and use the optimal algorithms to particular problems

By Cihat D

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Aug 24, 2023

An insightful and comprehensible overview of machine learning algorithms is provided in this course, presenting the underlying mathematics in a clear manner, free from complexity. What I particularly liked were the optional study labs, which aid in better understanding through valuable visualizations. I extend my gratitude to the esteemed Andrew Ng for this invaluable course

By Vincent A C T

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Jan 5, 2023

Thank you Andrew Ng and team for such an incredible journey in this first course of machine learning specialization. I have gained much better concept and understanding on supervised learning, especially in linear and logistic regression. This course really helps me establish a solid foundation in the world of machine learning. Again, thank you so much for the opportunity :)

By souvik d

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Jan 24, 2024

As a beginner in the field of Machine Learning, this course is a very good starting point as it ramps you up excellently and provides in-depth knowledge and understanding of the building blocks of ML. I highly recommend this for anyone starting their journey on ML understanding, as well as for experienced people who are looking for a refresher. Andrew is a master educator.

By Hoang L

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Aug 13, 2023

Andrew Ng is the best teacher I've ever had. I took his course just for fun - to work my brain and keep me from aging (not young anymore). It's not for my career or anything, but I love this course and can't describe how I like the way Andrew taught this course. Great teacher. I just wish the course is more rigorous and serious just like the Stanford one offered on campus.

By Svetlana V

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Jan 18, 2023

Excellent presentation by Dr. Ng, as usual. I like how the assignments are prefilled with data/values not related to the core learning, how clear the math behind it all is explained, and that this course uses the tools most likely found in most companies.

The previous version of course was great, too, but skewed a little too academic. You did a great job, folks! Thank you!

By Angad S T

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Dec 30, 2023

I would confidently rate the "Supervised Machine Learning: Regression and Classification" course as highly valuable. The expertise of the instructors, the clarity of the content, and the practical applications covered in the course make it a commendable resource for individuals looking to enhance their understanding of supervised machine learning. Keep up the great work!

By Seif H

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Jul 10, 2023

I took the previous Machine Learning and Deep Learning course in 2019, and the programming assignments were in Matlab/Octave, which was a bit challenging. But this Specialisation is entirely in Python, and I really enjoyed every content presented in the course. Dr Andrew's teaching method is just amazing and I hope to see a more advanced topic covered in the next course.

By Omar A

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Feb 26, 2023

The course is an amazing kickstart to a student's life into ML. Andrew Ng is an amazing educator and has the capability to explain difficult concepts with ease. One area of improvement can be that more examples can be taken while explaining the concepts as the same examples over and over again can get a bit monotonous. Other than that the course is majestically designed.

By SAURONIL B

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Feb 18, 2023

An excellent course by Andrew Ng sir, Hats off for such learning material. Sir made this ML easy, though it is not easy. The content is heavy to digest though sir delivered it in easiest and simplest language. Thank you a lot Andrew Sir for such wonderful teaching. Coursera team thank you tons for giving me such a opportunity to learn one of the best course in industry.

By Sepehr A

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Mar 23, 2023

At first, I enjoyed this course and loved how Mr. Andrew NG covers everything and makes them simple. This course covers all the mathematics, the basics, and the concepts I need to understand these supervised machine learning algorithms. Although, I think if there were more practices throughout this course it would be much better, especially, more with scikit-learn .

By Aghigh H

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Sep 21, 2024

I thoroughly enjoyed this course! Andrew Ng's teaching style is exceptional—he uses simple words to explain complex concepts, making everything feel approachable and interesting. The practical examples and clear explanations kept me engaged throughout. This course is perfect for anyone wanting to learn machine learning without getting overwhelmed. Highly recommended!

By mohammad h

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Jun 21, 2024

This is a wonderful introductory course for Machine Learning. Andrew Ng is an amazing teacher and explains every concept in such a clear and understandable manner. It begins by explaining what are features, weights, cost functions etc and then move on to Linear Regression, Logistic Regression, Gradient Descent and Regularization. You can't go wrong with this course!

By Felix G

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Mar 24, 2024

This course by Andrew Ng is exceptionally beneficial for beginners eager to delve into the realm of AI. It also offers significant value for experienced practitioners seeking to reinforce their understanding of fundamental concepts. Andrew Ng deserves commendation for his dedication to ensuring that learners worldwide can access and acquire valuable knowledge in AI.

By Mohamed A K

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Nov 1, 2022

I binged watched the whole course in two days since i couldnt just stop. Andrew is amazing, most of the time i was able to understand some mathematical concepts that is didnt think i will be able to understand before. I think that every beginner in machine learning has to start with this course. It explains mathematically all what you will be using as code later on.

By limbani h

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Jul 3, 2023

At the end of this course, I could really get to know about machine learning and understand the terms related to ML. This course is very helpful for beginers who wants to learn about ML. After completion of this course, I am also doing another 2 courses which are combined in this main machine learning course.

Thank you Andrew Sir for these well explanation ML terms.

By Sachin B

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Sep 5, 2022

The Course was very interactive and has many quizzes to evaluate your understanding. Exited to Complete the upcoming courses on Advance Algorithms and unsupervised Learning. I would like to thank Andrew ng and the whole teaching staff for creating the best material for machine learning. I especially liked the optional labs, which helped me dive deep into the topic.

By Navjot S

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Jun 22, 2022

Really learned a lot of mathematical concepts behind machine learning algorithms in depth. The course content is in sequence andintroduces complex topics in a quite simple manner. The associated optional labs and programming assignments hep get better understanding of underlying concepts. Nevertheless, the pre-requisites such as python, statistics are important.

By Said P

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Oct 2, 2022

Professor Andrew Ng delivered a high quality course as always. I refreshed my knowledge of regression and classification. The course has amazing examples of how gradient descent works under the hood. Each new concept has a jupyter notebook example and visualization of how each step works. Highly recommend this course to anyone interested in introduction to ML.