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

4.9
stars
24,349 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

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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.

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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1551 - 1575 of 4,794 Reviews for Supervised Machine Learning: Regression and Classification

By Andy W

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Nov 19, 2023

Great lectures and relevant coding lab assignments. They effectively teach the concepts of supervised ML.

By wilson f s

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Oct 14, 2023

Es un curso didáctico, que explica con suficiencia los retos de la regresión y clasificación. Recomendado.

By Anshuman A

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Sep 9, 2023

Very nice and useful course. Made learning very easy and I hope to use this course ahead in my future too.

By mohammadreza p

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Jul 31, 2023

it was really helpful and taught me ML from scratch.

great thanks to everybody associated with this course

By Anurup G

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Jul 21, 2023

It was such a slow gradual way of building up to tough concepts. I never felt the burden but learnt a lot.

By Aman S

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Jul 7, 2023

It would be better if we had some python tutorial in starting of course.

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By Sayed G

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Jun 24, 2023

Very powerful course to get start in practice with ML..

Learned a lot and have funny time with Dr.Andrew :)

By Rubén G

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Mar 18, 2023

Thank you very much to all of you from the bottom of my heart!

This was the best course I ever had, by far.

By Lakshya S

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Feb 6, 2023

All the labs make the course very interactive and makes it easier for a student to understand the concepts

By Sachin T

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Dec 15, 2022

Amazing Course!! Optional Labs are real learning add-ons, one must complete to get thorough understanding.

By Steven

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Aug 16, 2022

Detail and clear. There are lots of tips shared by Andrew Ng, which are quite useful in real applications.

By Ashish D

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Mar 7, 2024

Great Course! All optional labs are a must to get a practical knowledge of implementing these algorithms.

By Julia N

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Feb 26, 2024

I really liked how the course implemented mathematical, yet easy to understand, background of the models.

By Guilherme A B L

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Dec 16, 2023

Andrew NG is just an amazing instructor. The course is very well structured and allow you to really learn

By sameer k

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Sep 6, 2023

I learned a lot from this course. There was very handy and interesting plots I played with during course.

By Sayed M

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Aug 21, 2023

Very best Andrew ng teaching method is amazing. And also the course is very intresting and very important

By Abhishek K

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Jun 27, 2023

Amazing lectures that are short and crisp for better understanding along with well thought out tutorials.

By Nivantha M

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Jun 17, 2023

It was really well thought out course. Really enjoyed doing this course. Looking forward to the next one.

By YI-CHUNG C

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Jun 8, 2023

Easy to understand the contents. But it will be better if there are more practice labs instead of quizzes

By Max G N R

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Apr 24, 2023

I can only recommend this training. One inspiring and enjoyable way to learn more about Machine Learning.

By Nishshanka L A

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Apr 15, 2023

I have a dream to be a data scientist. This course will be good investment to achieve my future ambition.

By Jose

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Feb 18, 2023

Loved the course. Ramped up pretty quickly but very well explained with enough opportunities to practice.

By sary n

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Nov 10, 2022

Great course to break through machine learning and learn the intuition and maths behind these algorithms.

By Noel P

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Nov 10, 2022

The basics were very well taught and I gained hands-on experience coding the concepts learnt in the labs.

By Aniket s

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Aug 19, 2022

One of the best course to get introduced to the field of Machine Learning and get a idea about the course