Mathematics of Machine Learning

PhD mathematician turned ML engineer Tivadar Danka—known for his intuitive teaching style that has attracted 100k+ followers—guides you through complex concepts with clarity, providing the structured guidance you need to deepen your theoretical knowledge and enhance your ability to solve complex machine learning problems.

In this session, learn about the following things:
Understand core concepts of linear algebra, including matrices, eigenvalues, and decompositions
Grasp fundamental principles of calculus, including differentiation and integration
Explore advanced topics in multivariable calculus for optimization in high dimensions
Master essential probability concepts like distributions, Bayes' theorem, and entropy
Bring mathematical ideas to life through Python-based implementations

During the live event, you can ask more questions! We will try to get all the questions answered live, during the event.

We will also giveaway Ecopies to 2 lucky winners during the session. Comment with #packt to enter the raffle.