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Learner Reviews & Feedback for Supervised Machine Learning: Regression and Classification by DeepLearning.AI

4.9
stars
24,299 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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351 - 375 of 4,789 Reviews for Supervised Machine Learning: Regression and Classification

By Chavhan Y N 5 I M S a T

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Jun 5, 2023

Great Learning!!

Pre-requisite : Basic python (it is needed to complete assignments and programming challenges)

Overall it is a great course to understand machine learning algorithms, including mathematical aspects of it. It also provides comprehensive explanation of Overfitting, Scaling, Normalization, Regularization and Sampling,etc.

By Satya P B

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Mar 29, 2024

It was really well design, interactive, and practice based course to learn Machine Learning. You not only learn theories, but also relates that to real world and write codes in practice lab. Overall it is a 100% recommended course. Even a beginner can learn and understand this course easily without any prior knowledge in coding, or ML.

By Khursiah Z M

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Nov 6, 2022

Andrew Ng is an excellent teacher. It's mind-blowing how he can explain everything clearly and effectively. When things get rough, his words of encouragement and persuasion feels like I have a chance to work at Google 😅. If you have background programming and used Python before, it will make you learn dan understand faster. Good luck!

By Muhammad A

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Jul 20, 2024

When i start the course i did not even know what is machine learning and when icomplete the first course of this specialization i am able to make a linear regression and logistic regression model in machine learning . This course teach me alot . I am very thankfull to deeplearning.ai speacially sir *Andrew Ng * and then the whole team

By Luong M D

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Apr 28, 2024

I found this course to be excellent. I've grasped the concepts and terminology of machine learning, thanks to the clear instruction from the teacher. The examples provided were intuitive and engaging, making it easier to understand complex ideas. Additionally, the Jupiter Lab section offered detailed guidance, making coding a breeze.

By sri s h

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Sep 19, 2022

This course was very interesting. My mentor Mr.Andrew Ng well explained the concepts. They were easily understandable. since I am new to the world of programming, I am really happy and excited to fix the errors in my program. Thanks to my mentor and the course era team. This course will be very much helpful in upgrading my career.

By Hamid R

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Jun 27, 2023

A great course in machine learning. I learned a lot in this course and I definitely recommend it. Besides, it would've been great if they had some project besides the labs, though still it introduced me to a lot of excellent materials regarding machine learning, and I am looking forward to taking more courses in this specialization.

By Jayneel S

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Jul 9, 2022

It was a brilliant course and it helped me think more analytically. The practice labs and visualizations were spot on, they really helped in getting the intuition about what was being taught. Andrew Ng as usual was really great and explains everything quite nicely and calmly. The examples given by him complement the theory nicely.

By Julfa M A

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May 19, 2024

I am profoundly grateful for the opportunity to study in this course. It is an immense privilege to learn directly from an extraordinary and highly esteemed mentor, Andrew Ng. I would also like to extend my heartfelt thanks to all the organizers of this course. May you always be in good health and may your affairs be facilitated.

By Aakash N

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Jun 25, 2023

I've always heard great things about this course and I was blown away by the quality of the content. Andrew Ng is a Great Teacher. He makes you feel right at home explaining complex topics by breaking them down into small easily digestible bits of information. I am definitely gonna take another specialisation from DeepLearning.AI.

By Todd H

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Jul 8, 2022

Extremely impressive content (video, labs, and supporting interactive visulations) that truly help build intuition for the problems solved, while simultaneously aiding understanding of how and why to code the functions to solve the problems. Light on soley math, light on soley code, heavy on the intersection of the math and code.

By Vahid H

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Jul 18, 2024

A crystal-clear explanation of each part facilitates understanding and intuition of the concepts, and the questions in the middle of the videos and the practice labs help to see the implementation of the concepts with real-world scenarios. A special thanks to Stanford University and Coursera for these high-quality online courses.

By Fengyi X

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Jan 16, 2024

Awesome course! The lecture is easy to learn and friendly to beginners. Many thanks to the professor and all the staff working for this amazing class. As a researcher in the social science field with limited Python knowledge, I learned a lot in this course and I'm considering the knowledge in my academic field. Huge thanks again!

By sameh a

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Nov 1, 2023

This course exceeded my expectations. The instructor's expertise and clear explanations made complex concepts easy to understand. The hands-on projects and real-world examples provided valuable practical experience. I highly recommend this course to anyone interested in mastering regression and classification in machine learning.

By Joe W

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Jul 25, 2023

The content was overwhelming at first but the instructor was easy to understand and was detailed in their descriptions of each step. I came into this course with 0 knowledge of the subject and found the practice exams and helpful tips during the tests to be extremely helpful. Thank you for putting together such an amazing course!

By Subir D

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Jul 2, 2023

Absolutely worth taking. I had attempted this few months back, from Andrew Ng. This course has definitely made it worth while to dig in. I do have to ask the course designers, relevance of the next two courses, as the transformers architecture is taking us by storm due to recent GPT success. Are those next two courses irrelevant?

By T

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Mar 6, 2023

Unbelievably useful course... I've learned how to actually implement basic analyses of data using machine learning and have already applied this knowledge to data I work with every day with spectacular results. Can't recommend this enough; Andrew is also an engaging speaker and teacher. Very surprised at how fun this was overall.

By Zeljko T

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Nov 12, 2022

Even though I knew the material from the original ML course, it is a great upgrade to the original w.r.t. using python, jupyter notebooks and scikit-learn. It's always a pleasure to absorb the information presented by Andrew. Material was presented very clearly, with great focus on building the intuitions around things. Thank you

By Diana K

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Jul 10, 2022

I am very happy to finish this course! It is the best! I took previous course, but matlab was quite complicated and new for me. So I am very glad that course has been updated with python. Everything was explained in details. This course highly motivated me in studying. Thank you a lot, Dr. Andrew Ng! You are very great teacher!

By yiping w

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Jun 21, 2022

A great learning journey with Andrew Ng and thanks to all of the people behind to make it so intuitive and fun to learn .. I never thought that ML could be such easy to understand and with the this new Jupyter notebook and all graphics and animations this course turns the boring math into an excited exploration into the future.

By Raph L

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Sep 16, 2024

I really loved this course, the material was easy to understand and the explanations were given in a very digest manner. Having come to the end of this course, I realize that I have learnt a lot without getting a headache in the process. I want to thank the team for providing us with such a rich and beautiful learning experience

By Chandrashekar D

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Oct 24, 2022

The fundamentals have been covered thoroughly. The assignments have been designed very thoughfully to give a clear understanding of the subject. More than anything my interest in Machine learning has deepened. Taking this course motivates you to go for more. I am delighted with teh experience it offered me in a short time.

By Enrique B G

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Sep 7, 2022

Thank Andrew and the whole team that made this course possible. I learned so much in this course, Andrew is able to explain difficult concepts in a clear an concise way. The labs and quizzes helped to assess how much I've understtod the concepts seen. I have now solid basis to be able to grow in my machine learning journey!!!

By Vinicio O

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Aug 19, 2023

Fantastic course with the always positive, funny and kind energy of Andrew. This is a very nice and fresh update from the Matlab course which now uses Python and I am so much happier and able to understand things better. Gives me motivation to keep learning about ML and hopefully one day be a part of this world professionally.

By Sajal S

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Aug 19, 2022

An excellent overview of the both the basics building blocks of modern machine learning algorithms and the state of machine learning today. Taught by the fantastic Andrew Ng, who makes even the most complex concepts easy to understand. Courses from DeepLearning.ai are a class apart from any ML related courses on the internet.