How and what mathematics must be taught for training engineering students with the mathematics required for Machine Learning?
How can one conduct training of mathematics required for application-based topics like ML? The students are basically engineering students having covered basic Engineering Mathematics.
Can anyone please give any tips for an intuitive way of teaching ML Maths? Also, recommendations on any good books that the students will find easy to comprehend are welcome...
Edit- the scope of the course is to make the students industry-ready with principles of mathematics used in ML topics. It is not as deep as research Mathematics but certainly more rigorous and focused than the general Engineering Mathematics.