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

4.9
stars
18,061 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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301 - 325 of 3,770 Reviews for Supervised Machine Learning: Regression and Classification

By Tường N H

Sep 30, 2023

At first, I didn't think this course was suitable for beginners. However, after taking it, I had to change my opinion. The code is clearly provided with meaningful documentation, and Instructor Andrew Ng explains all the concepts in detail. This course is truly excellent and meaningful for my journey to become an AI engineer.

By Dharin S

Sep 11, 2022

Very well taught course covering basic concepts and examples lucidly. One does not need to get into complex mathematics and at the same time, it does cover the required maths driving the Machine Learning. The material, exaplanation and the various labs give complete picture of what's happening behind the scene of a ML system.

By Sourav S

Sep 25, 2023

An amazing course for people wanting to learn Machine Learning. The planned progression from the basic concepts to the complex concepts in the course, is truly commendable. Every concept has been explained in simpler terms and can be grasped with a little effort. Thank You Professor Andrew and team for building this course.

By Vinayak G

Feb 3, 2023

This course is best for getting knowledge of what is machine learning really is. After this you just need some practice on algorithm and you are ready to go. Also way of explaining is most efficient.

I would like to thank coursera, Deep learning AI and Andrew Sir for bringing this much easy to understand course for students.

By William R

Sep 28, 2022

This course covers the mathematics behind the algorithms in an intuitive way, slowly building up in complexity. It is shown how to implement these algorithms programatically using Python, instead of relying on pre-existing libraries that do all of that for you. Overall excellent teaching and exactly what I was looking for.

By Babak G

Aug 12, 2023

Hello every one,

this course is really good. You can learn the basic and conceptual ideas about supervised machine learning and also with programming laboratories, you can see the effect of parameters in figures, which help a lot.

In addition, you can become familiar with python libraries such as numpy, matplotlib, SKlearn.

By Chi Y S

Oct 19, 2023

Professor Andrew Ng breaks down the basics of supervised learning algorithms into easy-to-digest videos and lessons. What I really liked about the course is that he really eases you into the world of Machine Learning whilst being comprehensive in the basics to prepare you to tackle more challenging concepts with confidence

By Trang N

Sep 23, 2023

The course explains really well the details of how regression and classification algorithms work, Further more, there practical techniques to improve, not only for the 2 algorithms but for many other (potentially more complicated) models. It requires a little bit of math but not so much. I really enjoyed taking the course.

By Cameron W

Feb 8, 2023

Really incredible intro to machine learning course. I've taken several on Coursera and this one is easily the best. Andrew Ng provides great coding examples, real-world applications, and just enough math/theory to give you an understanding of what ML algorithms do without confusing you. Cannot recommend this course enough!

By Ravina88

Jul 21, 2023

i completed the whole course except the optional lab assignments as thy were paid one. the very interesting thing about this course is the video duration . all video's of this course were of 4-6 min and at max to 9-10 min. which makes it convenient for student to complete whole course.

thank you sir and all the members .

By Nag L

Jun 19, 2023

Andrew Ng explained in details concepts of fundamentals of linear regression and logistic regression with math expression models. He kept strict to stick with formulas to evaluate the models ourselves without the help of the sci-kit learn built-in methods to use. which gives one what actually we are trying and doing here.

By Syed M A S

Aug 17, 2022

A really good course with upto date contents, the best part is the way the course content is displayed by being broken down and starting from scratch by understanding the base concepts and then moving onwards to advanced libraries that do the implementation so that we know and understand the fundamentals of how they work.

By João G d S

Jan 31, 2024

Andrew is a excelent professdor, I've a huge background in calculus and statistics, been one of the best students on my classes and even though I can see he master the concepts in a level that a child could understand it, the quality, the exercises and everything else on this course is excelent and is a valuable material

By LI S W

May 13, 2023

A very well organised course for people without prior exposure to machine learning. The on-going fine-tuning of the course content shows how generous the organising group is to help people get a first glimpse of the hot topic. If you want to explore the world of machine learning, this is the first course you need to take

By Tom B

Dec 9, 2022

One of the best courses I have taken on machine learning. It is very easy to follow and provided a wealth of information on Linear Regression and Classification models. I highly recommend this course for anyone who wants to understand the formulas under the hood of regression cost and how to make more efficient models.

By Debi P

Mar 17, 2024

Superb course! For those of us who have nearly forgotten statistics methodologies that we learned a long time ago, this is not just a refresher but also an insight into how we can apply what we learned. The instruction itself is brilliant in the way complex theories and broken down into understandable bite-sized chunks.

By Tayyib A

Jul 30, 2023

Without a doubt the most fun online learning experience I ever had. The way the videos and labs developed a pretty deep understanding of basic ML from gradually implementing theory and small lines of codes to implementing the entire algorithm of linear and logistic regression kept me hooked. Felt like a game. Thank you.

By vishal c

Jun 9, 2023

I think Andrew Ng's Supervised Machine Learning course is an excellent resource for anyone who is interested in learning more about machine learning. The course is well-organized, easy to follow, and covers a wide range of topics. I highly recommend it to anyone who is looking to learn more about this fascinating field.

By Abdul J K

Jul 24, 2022

The best course with exceptional strategy to teach through a marvellous instructor (Andrew Ng) has totally caused a pronounced impact on my learning and teaching skill. I appreciate Coursera for such an exceptional support and opportunities for learning. I hope I may payback in future through my expertise as well.

By Luca P

Jul 10, 2022

All the fundaments explained at a slow pace, to help the learner to fix concepts in the mind. Of course, all the important passages are perfectly underligned by Professor Ng. He always give the feeling that teaching is a grat pleasure for him and this helps all the interested people to learn these fascinating subjects

By Naman C

Nov 6, 2023

The course is outstanding learning and teacher! You must buy if you want to learn ML. PPT, quiz, slides, and mathematics is amazing. The explanation is astounding! The video player is poor as I press the space bar it doesn't pause the video But any ways learning is more important Great work to create this course

By Eric N M

May 9, 2023

This course is so fundamental that anyone with no idea about mathematics and machine learning can understand. Thanks to the course instructor, Andrew Ng and the entire coursera team for putting thing together for other who can not make to the United States to also embark on their learning goals in machine learning.

By Mario R

Oct 21, 2022

A really nice starting point for ML. Completing the optional labs helps a lot. The whole course is pleasantly presented and in depth enough to get a good grasp of ML without getting into too many details (even then, if you want details, there's some optional parts of lessons to watch). I'd definitely recommend it.

By Nathan R

Aug 4, 2022

The explanations by Professor Ng were very detailed and precise, which made it better for me to understand while reviewing the material. I also liked how this version uses Python to supplement learning, rather than Octave. The only thing I wished he would have touched a bit more on the math behind the algorithms.

By Nireshkumar A

Oct 10, 2023

Andrew is an excellent instructor who explains the course materials very clearly, consistently made us engaging with the content through neatly drafted real world examples and more informative through a lot of valuable insights and tricks being adopted across the AI industry. Thanks for the well-organized course.