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

4.9
stars
17,990 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.

AD

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.

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326 - 350 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Yutong L

May 29, 2023

It is the course that deserves multiple attempts. No strong math is required!!! As a math lover, I am so impressed by how simply Dr. Ng illustrated the relationship between loss and cost function and how to interpret equations and functions in lab practices. Moving forward to my next course from DeepLearning.AI!

By Yash S

Nov 15, 2022

Absolutely phenomenal. Hands down the best online course I've ever taken. I'm shocked to see how little background knowledge is assumed, without compromising the depth of the material covered.

Really gives you a good foundational understanding of Machine Learning Basics that sets you up for a future in the field.

By mohamed h e n

Dec 26, 2022

if you need to know what really going on under the hood and has full intuition of what you do to control learning Algorithms it is recommended to take this course specially if you starting ai specially machine learning

Note: the explain is so great you understand the whole process thanks to the mentor mr andrew

By Vaibhav S

Jul 25, 2022

Overall very good course for beginners. But I feel there is a lack of exercise. Some labs can have some small questions in between them and practice quizzes can have more questions also question could be more challenging in quizzes.

After completing the course I feel like relaxing on the J-w-b contour.

Thank you.

By Robert S

Aug 9, 2023

An amazing introduction to Machine Learning. The theory was well explained and with really clear examples. The only thing I could add would be that I wished the code was also explained in the videos, mostly for those who would understand better if someone went through it. Overall, a great starting experience.

By Han

Apr 5, 2023

Andrew Ng is such a great teacher and scientist! He is also very kind, engaging and most importantly he wishes to disseminate the great tool and knowledge of AI and computer science to the world! I am very pleased and happy that I did this course with Andrew Ng and learn so much about machine learning and AI.

By Abdulsamet A

Mar 12, 2023

I sure that this course very efficient. Because Mr. Andrew NG explain perfectly how algorithms work and how we can improve our algorithms in detail. Additionally, when I have first saw Mr. NG he gived me inspire then I started to wonder about ML. Sincerely thank you so much. You are the best I have ever seen.

By Adri

Jul 27, 2022

A really nice foundation course for supervised machine learning with right amount of math to understand concepts. I like how the course has been structured starting with simple concepts and slow progress to complex one .

The course contains python code lab which I found very useful to understand the theory.   

By Zahra K

Jan 23, 2023

When I see an expensive car, I wish that one day I would have the same price as the number of students.

Andrew, you made my wish come true!

I am proud to meet you and I am very happy about it ...

I learn that ML is an approach and is a strong culture ! I wish to be able to work and teach in this field one day.

By 【雷涵】Syed

Dec 17, 2022

I have been a self-taught ML and Software Engineer, with 3-4 Yo Experience, However, I knew there where a lot of gaps in my knowledge base. This course has filled them. It was fun doing the labs, even if you have take the 2011 version of the ML specialization, this versions is a must for its labs. Thanks.

By Cristhian J C V

Oct 20, 2023

Excelente curso!!!. A diferencia de otros cursos, te enseña el porqué de cada una de los tópicos de las regresión lineal y logística, implementando cada concepto en código y viendo como es su funcionamiento paso a paso, incluso podrías tu mismo preparar tu propias librerías (similar a las de scikit-learn)

By Matheus B

Aug 13, 2023

The course was very good, the Andrew methodology is incredible. The course provides the tools for both tasks of regression and classifications, using linear regression model and logistic regression. The course is guided for better purposes , but offers a view for the student development your owns tools.

By Manish K (

Jun 16, 2023

I have taken this course 1st time, it is very helpful in understanding basic concept of Machine learning with great advantage of lab session which give great intuition about applying ML-alorithim. I should recommend this all specail those who are not from coding background but want learn machine learning

By Zahra R

Aug 13, 2023

Amazing Amazing Amazing

Thank you very much for this wonderful course.

I learned a lot. Professor Ng has an amazing ability to teach complex topics very simple.

Thank you Professor Ng for this extraordinary course.

I want you to know that your hard work, dedication, and passion for teaching are appreciated.

By Elodie R

Jun 19, 2023

This course is very well structured. I used to perfom linear regression with least mean square, but gradient descent is very intuitive and generic to other machine learning. I like the way this course learn you everything from the point of view of this algorithm, it helps capture the intuition this way.

By Nannan Y

May 2, 2023

This course was a great way of going back to the fundamentals of Machine Learning. Even though Regression and Classification formulas are very basic compared to the deep learning models and neural nets, I can already predict or hypothesize how those work internally using the concepts from this course.

By William G R

Apr 9, 2023

The structure of the course was very helpful, and the instructor explained the concepts very well. Before taking this course, I found machine learning very confusing, but now I have a much better understanding. I am looking forward to the second course and have high expectations for what I will learn.

By Mauricio T M

Mar 2, 2023

Excelente curso sobre regresión lineal y logística! La transmisión de los conceptos es muy clara, llena de ejemplos para evacuar dudas y con laboratorios en python para profundizar lo visto en clase. También da consejos muy útiles para poder aplicar los algoritmos a situaciones reales. Felicitaciones!

By Diego A S R

Feb 11, 2024

Amazing course, amazing content, amazing instructor. The way in which Andrew introduces the different topics is incredible and it is really easy to understand all of the concepts. As an introductory course to ML, I feel I'm beginning this course gave me a solid understand of the most basic concepts.

By Gurkarn S

Sep 24, 2022

Very well organized course with detailed explanation of the concepts. The course teaches implementing algorithims from scratch while providing a good fundamental understanding of how the algorith operates. The practice assignments were great since yiu would write the core of the algorithm yourself.

By Arnab C

Aug 7, 2022

As a begineer in Machine Learning, I would suggest this course should be the first one every one takes. Mr. Andrew provides an indepth yet crisp insight of the underlying logics enabling us realise a ML model. Having a bit of very basic math background will help understand the algorithms far better.

By Ziaoulrahman S

Jul 25, 2022

A very helful course for beginners the optional labs are tremedous and organised very professionally for beginners those who would like to learn Machine Learning. Background concepts are really well explained with real world examples. The whole course is a peice of Art!!!! Thank you Prof. Andrew NG.

By Pratham M

Apr 9, 2023

This is my first full course on AI/ML. It has certainly helped me gain a lot of knowledge. The videos were clear, and the interactive labs were fun. I will recommend this course to anyone who wants to start learning AI/ML. Thank you Andrew Ng and everyone else who contributed to making this course.

By Sasi k D

Jul 24, 2022

A excellent course for those who are into learnning machine learning. This course is explained in detail with wonderful examples which makes the process of understanding easy . And the optinal labs provided with course which have interactive examples gave a great intuition about the course topics

By Anoushiravan K

Oct 18, 2023

In my opinion, this course is excellent. This course includes the concepts, application and considerations of machine learning (Regression and Classification) along with implementation in Python. This course is designed and implemented in the best way. All its content is informative and valuable.