The course is really nice! I enjoyed it! One thing I may recommend from my side is to add more explanation videos for week 4 (the one with eigenvectors and eigenvalues). Understanding the topics involved and their real-life application is far from intuitive. And completing the quizzes/labs was more difficult than for other weeks

The course started from the very basics so it was really easy to follow along . The content was structured into very short videos and quizzes therefore its very convenient to follow with a busy schedule. Finally, I would recommend this for anyone interested in machine learning with the self paced environment its perfect.

Although I prefer rigorous mathematics, I still find this course amazing at demonstrating the application of linear algebra in machine learning. As for me, the most exciting part of the course is the principal component analysis - It is awesome to see an application of the principal axis theorem for the first time.

Apart from Python Assignments (Week 3 and 4 are very difficult), This course is really a Friendly introduction to Linear Algebra, which gives a basic and concrete understanding of how linear Algebra is used in Machine Learning. This basically helps the learner how to interpret the data in the form of Math.

This was basically a revision for me, but I really enjoyed the course, especially the way Mr. Luis Serrano is approaching and visualising the concepts. It's also nice to always relate each concept to real-world application. Learning Maths this way is much more funny and easy to understand.

The course material on Coursera is excellent. Delving into the concepts and utilizing the provided resources for further research significantly enhances one's understanding of the topics. This comprehensive learning experience truly enriches the overall educational journey.

Perfect pace and level of difficulty. Coding assignments are really well structured. Material shared is easy to be used as a reference in future. Time was well spent in refreshing my linear algebra knowledge and learning about how to use NumPy to handle linear algebra.

Amazing course. Learnt a lot. All thanks to the Coursera for providing me with Financial Aid which allowed me to have full access to this course and have some real world experience of Machine Learning through the Labs. I look forward to continue with Calculus for ML.

One should enroll in this course to explore the fundamentals and practical applications of Linear Algebra, even if you received a good grade in college but never learned it. I never expected to learn Linear Algebra the way Luis Serrano teaches it in this course.

Great course to work on some of the basic and necessary topics which are prerequisite to machine learning and data science. Instructor explained the topics in a simple words and visualized the topics which made the topics easy to insight.

Luis Serrano is an amazing instructor, a fantastic mathematician, and a programmer. He can explain complex concepts easily and clearly. I enjoyed every bit of the course. Thanks, Luis, Andrew, deeplearning.ai, and Coursera

Linear Algebra for Machine Learning and Data Science is an exceptional course. With clear explanations and hands-on exercises, it's a must for anyone looking to excel in machine learning and data science.

This course is very well organised The tools and programming assignments are very instructive. I am going to continue working on a few project to consolidate my learning and continue with further courses.

An insightful course into the inner workings of some of the technology of today, like YouTube's recommendation algorithm, or Google's PageRank algorithm, and how matrices and vectors are deeply involved.

Best course ever for Machine Learning. I appreciate the efforts of all who made that course so focused. Stay blessed the whole team and HEC Pakistan for giving me such an amazing opportunity of learning.

Relatively basic. But if you have already learn Linear Algebra before, and wanna review quickly, or just wanna start to learn machine learning or deep learning. This course will be a suitable option.

Great course and excellent instructor. All the concepts are explained in details with visual concept. There are also some coding labs so that we can implement what we have learnt.

Great course. Although I studied Linear Algebra many years ago in Engineering and Physics, it was an excellent refresher. The instructor really tied things together well.

This course has given me new confidence to develop a mathematical mindset. After decades in data engineering, I am starting my new role in Machine Learning and AI.

I'll really recommend to anyone eager to acquire the basic requirements for Machine Learning and Deep Learning. It was fun to learn with very practical exercises

This class employs straightforward examples and visualizations, aiding me in grasping the key concepts more efficiently. I thoroughly enjoyed this course.

before this course, I was just in jungle by not knowing anywhere, but this course opens my eyes and it makes everything clearer at the foundational level.

Best Visual Explanation, I've got new thinking of the same things which I had learned in the Past. It great Course Thanks for making Such Amazing Content.

I appreciated this course very much, except for the sometimes inaccurate task descriptions in the programming labs.

It got decent Khan Academy vibes :)

Despite the fact I have already taken the same content at my University, It all felt really new to me, and It was like the first time I understand.