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

4.9
stars
24,873 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

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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301 - 325 of 4,868 Reviews for Supervised Machine Learning: Regression and Classification

By Mohamed A K

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Nov 1, 2022

I binged watched the whole course in two days since i couldnt just stop. Andrew is amazing, most of the time i was able to understand some mathematical concepts that is didnt think i will be able to understand before. I think that every beginner in machine learning has to start with this course. It explains mathematically all what you will be using as code later on.

By limbani h

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Jul 3, 2023

At the end of this course, I could really get to know about machine learning and understand the terms related to ML. This course is very helpful for beginers who wants to learn about ML. After completion of this course, I am also doing another 2 courses which are combined in this main machine learning course.

Thank you Andrew Sir for these well explanation ML terms.

By Sachin B

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Sep 5, 2022

The Course was very interactive and has many quizzes to evaluate your understanding. Exited to Complete the upcoming courses on Advance Algorithms and unsupervised Learning. I would like to thank Andrew ng and the whole teaching staff for creating the best material for machine learning. I especially liked the optional labs, which helped me dive deep into the topic.

By Navjot S

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Jun 22, 2022

Really learned a lot of mathematical concepts behind machine learning algorithms in depth. The course content is in sequence andintroduces complex topics in a quite simple manner. The associated optional labs and programming assignments hep get better understanding of underlying concepts. Nevertheless, the pre-requisites such as python, statistics are important.

By Said P

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Oct 2, 2022

Professor Andrew Ng delivered a high quality course as always. I refreshed my knowledge of regression and classification. The course has amazing examples of how gradient descent works under the hood. Each new concept has a jupyter notebook example and visualization of how each step works. Highly recommend this course to anyone interested in introduction to ML.

By Santhosh R

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Aug 21, 2024

I thoroughly enjoyed the course 'Supervised Machine Learning: Regression and Classification' by Andrew Ng. The way he explained the material made even the more challenging topics easy to understand. I learned a great deal about machine learning, with detailed explanations that made complex concepts accessible. Thank you for such a valuable learning experience.

By kunal P

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May 25, 2024

Coursera’s Supervised Machine Learning course exceeded my expectations in every way. It provides a thorough grounding in supervised machine learning, supported by excellent teaching and practical, hands-on experience. Whether you’re a beginner or looking to deepen your understanding of machine learning, this course is an outstanding choice. Highly recommended!

By Franciszek H

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Sep 13, 2023

The course is very well done and I'm pretty sure you'll be listening to Andrew with excitement and great focus. Unfortunately, if you're already skilled in algebra, calculus or programming, I don't recommend this course for you, as it's for complete beginners, and a lot of time is spent on explaining fundamental things in quite mathematically informal manner.

By Ashraful I S

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Aug 29, 2023

Supervised machine learning, encompassing regression and classification, is a powerful approach to make predictions and decisions based on data. It's crucial to understand the concepts, choose appropriate algorithms, perform careful feature engineering, and evaluate models effectively to achieve accurate and reliable results . Thanks to Coursera Authority

By Amardip B

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Jun 12, 2023

It was a great learning experience. Andrew has been an excellent teacher. I never felt at any point that the course was getting heavy on me. He explained each and every aspect with extreme detail.

But I do suggest to add Lasso Regression and Ridge Regression. Although a part of Ridge Regression was covered in this course, it was not emphasized upon that much.

By Akshay A

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Jan 8, 2023

Developed lots of mathematical intuitions, had fun labs which I must say were absolutely beautiful, notebooks provided by the instructors were phenomenal, I would recommend the course for the labs!! Just watching the videos and doing quizzes is *not* enough and the instructors know that.

I am grateful to Andrew and team for the wonderful work they have done.

By Daniel O V

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Apr 20, 2024

Excellent course, I learned a lot. In particular, looking at the algorithms, logic and mathematics behind machine learning gave me an in-depth understanding of how it works and how programs are built. With so many Python libraries, it can be difficult to navigate the program, with this course I was able to understand the libraries used and their strength.

By Muhammad J M

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Jul 4, 2023

This course help me understanding the basics of Linear regression and Logistic regression. Andrew Ng is explaining every point deeply and It's easy to go with the course.

With the lab material provided, it is find to polish the skills and understand how things actually work. I liked the course and it is very good for someone who is new in machine learning.

By Kasib A

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Sep 3, 2022

Since this is my very 1st course ever in field of Machine Learning (career switch from civil engineering domain), I am very thankful to Dr Ng for making the tough terminolgies so easy to understand. The practical assignments (python programming) is what makes this course industry oriented. Thank you so much for this masterpiece Dr Ng !

Regards

Kasib Ahmed

By Pradeep C

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Sep 30, 2022

ML concepts very well explained. For practicing and actual world challenge additional resources on Numpy, Tensor Flow, Keras are required. Professor makes this a cake walk to understand core of machine learning concept for new to the field. I am weak in programming still I could see (experience ) the vast expanse of this alien world of machine learning.

By ARIJIT D

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Aug 18, 2024

Sir's explanations is excellent ,I learned and enjoyed all the videos and practical lab so that's why thank you respected sir and thank you Stanford University to give me this course in free. Lastly I requested to the university please give me the remaining 2 course for free because I want to learn but I have no enough money to buy the remaining course.

By Arnab C

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Jun 16, 2024

very good course and one of the best part of this Course it do not use library directly rather than it use traditional mathematics and show how mathematics is the language of the ml or universe and make your confidence very much high and you will not only love this course but also feel every part of the lecture ,every algorithm how they actually work.

By Joshua A Y

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Nov 5, 2023

Excellent course. Great introduction to supervised learning. It helped me cement much of what I already knew on the subject and also gave me a deeper understanding of the course subject. Thank you very much Andrew and the DeepLearning AI team as well as Stanford University and Coursera for this course. I recommend it to any beginner to machine learning!

By Rachana V

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Aug 30, 2023

Excellent course and taught at a good pace which was very helpful for a working professional like me, as I had to squeeze in classes whenever I could. Loved the instructor, Andrew Ng, as well. The explanations were simple, precise and complete and that made a difficult topic seem easier. I'm inspired me to take on a few more courses in Machine Learning!

By Muhammad S S D

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Nov 15, 2022

This is the best course on the internet for supervised machine learning and its basic algorithm. I learned a lot of new concepts from this course and I hope to learn new things after this. Andrew Ng is an awesome instructor . I loved the way the whole course was conducted. All of the topics were simplified and optional labs were very helpful as well.

By ehsan t

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Apr 5, 2023

This course is like a milestone in my career. The very well-structured material was brilliant among other educational courses I ever had. As a person who had no idea about ML, it was a perfect beginning. Also, the encouraging tone of Dr. Andrew Ng alongside his clear educational path in this course is motivating to keep it alive all the way to the end.

By Heath L

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Mar 1, 2023

Thank you so much Andrew and team for these excellently curated machine learning courses. I'm going 2 out of 3 now and I am not losing any momentum because of how you explicitly you explain everything from the main topic down to every details. Again, thank you and I'm hoping I can apply the learnings from this specialization on my work and research.

By hardik S

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Oct 8, 2024

excellent course, the exercises could have been more extensive but overall it's very good. I recommend carefully going through all labs . It will help you not only understand but implement code yourself. Also if you are not familiar with multivariate calculus and linear algebra, you should do that first to get better understanding of what's going on.

By SHUBH R

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Jun 10, 2024

It is a very good course for the beginner to start learning ML. It includes learning of regression algorithms like linear regression, logistic regression, and regularization techniques. It helped me a lot to understand these topics. I would like to thank Stanford and the team for making available this type of courses with the option of financial aid.

By JSeco

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Mar 3, 2024

An amazing and comprehensive learning experience and a great way to start with machine learning from ground zero. Being someone with a limited experience in the Python language makes it a bit challenging but still accessible. I really appreciated Andrew's calm teaching style and his great attention to detail. Thank you. Looking forward for course #2.