Mathematics for Computing by KodeKloud

Explore the essential math concepts that power modern technology. Build skills in linear algebra, calculus, probability, and statistics to understand computing systems really work.
Course details

---

Demystify the math behind the digital world. Build a foundation in linear algebra by learning how to work with vectors, matrices, and tensors that drive graphics and search algorithms. Apply calculus, derivatives, and gradients to see how they fuel machine learning and AI. Interpret probability distributions and Bayes' Theorem for statistical inference and decision-making, and trace how backpropagation trains neural networks for tasks like language translation. Built for aspiring AI and machine learning engineers, data science beginners, and self-taught developers, this course turns abstract formulas into tools you can apply with confidence.Note: This course was created by KodeKloud. We are pleased to host this training in our library.
Skills covered

---

Computing, Calculus, Mathematics
Homepage

---