The course has taken me through all the revision I needed for calculus while focusing on ML applications. This is exactly what I was looking for and more importantly what I needed. The course takes small and clear steps with sufficient materials to secure the understanding. I found myself coming back to the course for revisions or the need to recall/visualize something. Greatly appreciated.

That was challenging, but doable! The course helps you understand the maths behind ML. Would totally recommend it to anyone who's preparing to enter the field of Data Science and Machine Learning. It took me longer than I expected though, at times needed to review some Khan Academy materials. The instructor is very good!

Luis Serrano is an excellent teacher, who balances explaining the topics very well but also at a level that is challenging and spurs independent thinking. The labs were very helpful & especially in learning exactly what goes on in all the layers of a neural network. Looking forward to the next course with him!

The course was GREAT!!!

I finally understood how calculus is used in machine learning. Now I feel I have some understanding on the subject. Luis is a great teacher, he explains all the inner workings of the theory. The depth how the subject is approached makes the learning process much more rewarding.

I learnt the basic calculus used in Neural Networks and many more theoretical and practical concepts involved, from this course. I truly feel excited to explore more. It's well-structured and packed with knowledge. A great course for a beginner like me. Thanks to the team and the mentor.

This course shows how gradient descent and back propagation works under the hood. Differentiation is covered thoroughly and illustrated with good examples and visualisations. Newton's method is also taught as an alternative method of optimisation. Luis did a great job teaching this one.

Calculus for Machine Learning and Data Science is outstanding. With its clear explanations and practical exercises, it's essential for mastering calculus in the context of machine learning and data science. Highly recommended for anyone serious about excelling in these fields

The course teaches Calculus in amazingly simple ways. Luis Serrano is an excellent instructor who breaks down complex mathematical structures into simpler terms. This course teaches you how Calculus is used to work on ML problems. The programming labs are highly detailed.

This was a great way to brush up on Calculus and gain an introduction to machine learning in a rigorous way that doesn't gloss over the quantitative reasoning. One of the best crash courses in single and multi variable calculus ever. Luis is a great teacher.

"Not just dry formulas and numbers. The course provides many practical examples, helping to understand the essence of the problem: Why does this formula exist? What is it used for? Heartfelt thanks to DeepLearning.AI and Professor Luis Serrano. 100 stars."

Excellent! Calculus for Machine Learning and Data Science by DeepLearning.AI definitely makes for an excellent beginner's course for appreciating the more important concepts and methods of Calculus that are used in ML and DS. Congratulations, Luis! 👏🏽🎉

Same as the linear algebra in the series: Very well done! All the foundational math concepts are very well presented, explained, and illustrated at the appropriate pace (for me). The teacher is very clear and engaging. The Jupyter notebooks are great.

The instructor is able to explain complicated topics in a simple way making them comprehensible to people without previous background. The only downside is that some notebooks contain a lot of mathematical formulas that might not be easy to follow

Easily my favorite course out of the three for this specialization. I was already quite good with derivatives, and this course made me see derivatives and their purposes differently. I wish this course was as long as the other two!

One of the best calculus courses that I have taken so far. Highly recommended for ML beginners and practitioner alike. Explanations are superb and the assignments and quizzes help cement the concepts learnt in the lecture videos.

Great course! I particularly liked the ungraded and graded programming sections where you build two-layer neural networks from the ground up. Very valuable, personally found it more comprehensive than the Linear Algebra one.

this course is perfect and its also a necessary step in learning machine learning it helped me learn how calculus affects on optimization and how I can implement them using python

very good courses. The material is quite deep and difficult, but can be conveyed so that it is easy to understand. The lab is also very helpful to better understand the concept

It is a clear and concise course that gets to the heart of the concepts. Highly recommended. P.S. It does require a bit of background knowledge but nothing too fancy.

Enjoyed learning calculus from prof. Serrano. I mostly enjoyed the programing exercises, I wish this is how it was taught to us in school. But better late than never.

This is a great course also for beginners in data science and computer scientist who want to deeply understand the mathematics behind the machine learning.

The course content is very well prepared and educational. The instructor explained it wonderfully. You've really done an amazing job. Congratulations!"

taught very well! a long peak under the hood for several machine learning algorithms. The course has inspired me to learn more complex maths.

This course really helped refresh the concepts of calculus and gave hands-on entry-level programming assignments perfect for the beginner.

it's great! not only did I learn the calculus, but also applied it to simple neural network, the labs and assignments are really great!