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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
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

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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2926 - 2950 of 4,721 Reviews for Supervised Machine Learning: Regression and Classification

By George J

Mar 16, 2023

Great intro to machine learning concepts

By Patrick P

Mar 14, 2023

A great course. Challenging, but doable.

By JUAN P P A

Feb 8, 2023

Muy buen curso, el profesor es el mejor.

By Besufekad N

Dec 31, 2022

Great topics and a great way of teaching

By Adam J

Nov 5, 2022

Engaging content and helpful instruction

By Ahmed E

Oct 29, 2022

The most useful course I have ever got.

By KARTIK A (

Sep 3, 2022

i have learned a lot through this course

By Fernando Q P

Aug 20, 2022

It's a great course, thank you very much

By 20R11A0567 B S R

Aug 14, 2022

Excellent Course!! Amazing Instructor!!

By rahul m

Aug 13, 2022

Very good course and easy to understand.

By Naoufal H

Jul 25, 2022

i really like it, simpile and very handy

By 马家轩

Jul 17, 2022

goooood!It is very friendly to the newer

By Harshil S

Jun 30, 2022

Course content is perfect for beginners.

By Ankith K A

Nov 3, 2024

It was very well thought with good labs

By Noumbissi S

Jul 16, 2024

Awesome course, clear and comprehensive

By Zobair H

Jan 5, 2024

A good source to learn machine learning

By Or S

Nov 26, 2023

Great basic course, a great instructor!

By Ange-morija K

Sep 23, 2023

Cours vraiment excellent, je recommande

By alireza m

Sep 13, 2023

It is the best course i have ever seen.

By Mai H A

May 4, 2023

it is so helpful for me. Thanks a lot!!

By Aseem S

Apr 9, 2023

THANKS FOR YOUR GUIDANCE! BEST COURSE!!

By mahmoud a

Apr 8, 2023

veru excellent course .thanks very much

By Shahid H

Apr 5, 2023

Best course i've ever studied regard ML

By Ackermann Y

Mar 5, 2023

Very good course for complete beginers.

By YUCHEN O

Jan 16, 2023

very good and let me love the ML field!