Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.
Excellent course. I completed this course with no prior knowledge of multivariate calculus and was successful nonetheless. It was challenging and extremely interesting, informative, and well designed.
por Mark J T•
The course is a very concise and excellent introduction to the calculus necessary. It answers a lot of questions with respect to optimization.
por Phạm N M H•
This is one of three course in Mathematics for ML, it'll give you intuition for understand the true meaning of ML/DL/AI , it's all about math
por Amartya M•
Quite a good overview int the concepts. Lucid explanation and good quizzes. Would recommend Khan Academy Multivariate calculus on top of it
por Julio G•
Great introduction into optimisation. Looking forward to continuing with the 3rd course. Thanks Imperial College for having this available.
por Roshan B•
An excellent review course for those who had not used calculus for a while. The derivation of the back propagation algorithm was excellent!
por Gopalan O•
Excellent course on multivariate calculus and application of calculus in Machine Learning. Loved the assignments and the programming ones.
Prof. Dye's presentation is so polished - the examples are exactly the type to help cover much ground, while building a strong intuition.
por Maged F Y A•
a very good explanation of the required calculus basics for machine learning. moreover, it opens the way for the wide optimization world.
por Yuchi C•
Very well structured and nicely explained. The assignments / quizzes are very helpful for deepening and strengthening the understanding.
por María J S G•
Muy adecuado si estamos interesados en introducirnos en el mundo de los algoritmos usados en inteligencia artificial y machine learning
por Kovendhan V•
This is a must course to be taken up for AIML enthusiasts. Will greatly help before listening to Andrew Ng in Machine Learning course.
por Jean P F M•
Great course!! It was challenging, but as any good challenge the reward is worth it. Thanks for the opportunity of learning with you!!
por Abhilash V•
Good short videos and have great some practical assignments in python.A good intro and can be a good refresher to calculus for you.
por Jeferson S•
This course, took me deeply to the machine learning world, besides that It built up a strong bases to keep studying machine learning.
por JUNXIANG Z•
As a physics graduate, this course serves a fresh up in calculus and optimisation, which is essential for studying machine learning.
por Krishna K K•
Great course for deep learning engineers,cover all the fundamentals of calculus required for learning machines.Thanks to Professors
por Grigoraș V•
The professors are great! Wish we had part of such enthusiasm all throughout high-school. I bet people would enjoy math a lot more.
por Aymeric N•
Great lectures augmented with interesting and practical coding assignments. I really enjoyed this course on multivariate calculus.
por Sai P B L•
Good beginner course for learning the fundamentals of mathematics involved in machine learning.
Would highly suggest this course.
por Gauri S•
It is a good course to understand where Calculus can applied to machine learning. It inspires me to pursue a MS in Data Science.
por Arnab S•
This is a very good foundational course for anyone who wants to understand the idea behind the mathematics of Machine Learning.
por Rehanuddin S•
Mr. Sam Cooper and Mr. DavidDye's teaching are Simply awesome. Looking Forward to completing this specialization. ❤ from India.
Thank you professors for your nice explanation. I hope to see you again with in depth of machine learning and neural networks.
por Manhal R•
An amazing refresher for those who have already done. It took me less than a day to go through it and finish the assignments.
por Charles K•
Really great course, well-organized, great instructors, challenging. Only issue is that the pace of the course is super fast.