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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
24,409 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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1426 - 1450 of 4,803 Reviews for Supervised Machine Learning: Regression and Classification

By zhifine

Aug 1, 2024

I like this course very much! It help me go through the basic concept of machine learning quickly, It is wonderful!

By Rishipramod C

Jul 14, 2024

I personally says it is a fantastic journey throughout my course and learnt a lot new things...Thank you sir....!!!

By TERAN C E A

Jun 30, 2024

Excelentes explicaciones y metodologías. El instructor sabe cómo transmitir conceptos complejos de manera sencilla.

By Santosh R

May 14, 2024

i dont have words to express my gratitude to professor Andrew Ng. This is the best course I have ever taken online.

By Paolo B

Nov 23, 2023

Great teacher, great knowledge. Also very engaging and totally not boring. I wish to have all courses at this level

By Mark E

Oct 12, 2023

Just the right balance of learning intuition, formal mathematics and coding to get my feet wet in machine learning.

By Sameer M

Jul 31, 2023

I have learnt more in this course than my 4 year degree. Thank you Andrew NG and coursera for making this possible.

By June C

Jul 14, 2023

The instructor is really inspiring. The talk with another great machine learning scientist Fei-fei is also amazing!

By Paul H

Apr 1, 2023

Great course. Andrew Ng really makes the learning curve easier for such a subject as this. Looking forward to more.

By Yash I

Dec 18, 2022

The course was excellent and enjoyed it.....Thanks so much....(plz add support vector machines(SVMs) to the course)

By Boris S

Oct 11, 2022

I like this cource. I think it is done exactly right for someone who is familiar with basic math and basic python.

By Ying W

Sep 2, 2022

Thanks a million for Andrew and the team for this amazing module! Cannot wait to finish the whole specialization!!!

By Jeff H C

Aug 14, 2022

I loved the course. It was very challenging, but well worth my time. It was a pleasure learning from Professor Ng.

By Mr. C

Aug 12, 2022

Absolutely impressive lectures and supporting materials.

Two thumbs up to the main instructor and the co-workers !!!

By Laís L

Jun 30, 2022

Lectures and exercises are very well explained and easy to follow. Thank you Andrew Ng for this excellente course.

By Fai N m A

Nov 12, 2024

دورة رائعه ومليئة بالمعلومات المفيده اتمنى طرح الكثير من هذه الدورات عن بعد لاتاحة الفرص للجميع بالتعلم والأستفاده

By Kimia N

Sep 30, 2024

very well structured and clearly explained every concept. maybe add some harder questions to the practice quizzes.

By Hir R B

Aug 6, 2024

I love how the algorithms are explained more in an intuitive way. The material and optional labs are very helpful.

By Afrina A

Jul 3, 2024

Such an wonderful course, what helped me most was gaining insights into how those algorithms worked. Truly helpful

By Shaikh A

Jun 23, 2024

lovely course designed by Deeplearning.ai and stanford university , andrew ng is best tutor in this world for ml .

By Roya P

Mar 5, 2024

With this course, I relearned all my ML knowledge much much intuitively. The intuition was a breakthrough for me.

By Narayana R B

Sep 9, 2023

One of the first courses enrolled to in coursera. Awesome experience at Coursera. Thank You Coursera and Andrew Ng

By Tùng N T

Aug 11, 2023

-Simple explains for people who are beginners in Machine Learning.

-Have a lot of examples and codes for practicing

By Kashyap I

Mar 6, 2023

Loved it, one feedback I have is scit learn might have been additionally graded, as that is used in industry a lot

By Jason

Mar 6, 2023

Very well taught. Andrew Ng is articulate and able to break complicated concepts down to easily digestible blocks.