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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
22,170 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

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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

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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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2626 - 2650 of 4,542 Reviews for Supervised Machine Learning: Regression and Classification

By ANUJ Y

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Apr 18, 2024

Nice, just keep it up we need more such courses

By Yash M

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Mar 28, 2024

the course was very good and easy to understand

By Darshankumar P

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Jan 8, 2024

Awesome learning...Thank you so much professor.

By Itaypiz71 P

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Nov 5, 2023

great course, solid foundation, simple to learn

By Gabriel G

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Sep 3, 2023

Muy bien explicados los conceptos matemáticos!!

By Sean H

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Aug 22, 2023

Provides a great foundation on Machine Learning

By Nate P

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Aug 4, 2023

A super good introduction to ML and regression!

By CARLOS J C M

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Jun 30, 2023

This course give you a good introduction to ML.

By Varun D

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Jun 29, 2023

Thank you so much for this amazing resource! :)

By Amro M

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Apr 29, 2023

Excellent, amazing instructor. I learned a lot

By MR

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Apr 1, 2023

Great instructor and content. Can recommend 5/5

By Fadel M

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Mar 6, 2023

Top-level explanation (theoretical and applied)

By Zainab O

•

Feb 20, 2023

Thank you very much! I have enjoyed this course

By Mohamed S

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Feb 18, 2023

Amazing Course! I really enjoyed it. Thank you.

By Mohammad R

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Feb 5, 2023

This course is the best course that i have had.

By David S

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Jan 2, 2023

World-class introduction to Machine Learning :)

By Sina O

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Dec 23, 2022

This course was very great and Exciting for me.

By 呂皓恩

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Dec 3, 2022

Very good course for learning Machine Learning.

By Jesper

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Oct 7, 2022

High quality material and very well explained.

By Niraj K

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Sep 29, 2022

this course very intresting and i enjoyed alot

By Tanawat C

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Aug 18, 2022

This course give me first course to learn to th

By Oscar M L

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Aug 7, 2022

Muy claro y buen material. Sencillo de aprobar.

By Rithvik S

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Jul 23, 2022

Its just a beginner friendly course intro to ML

By Ying Z

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Jul 12, 2022

Challenging and exciting course for beginners.

By Dave K

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Jul 8, 2022

The course was great and I recommend it highly!