Mathematics of AI: Neural Networks, Gradient Descent & Python Foundations
Learn why calculus, linear algebra, and gradient descent power modern AI and Neural Networks. Includes interactive Python notebooks and visual proofs.
Master the exact mathematical heartbeat of modern Artificial Intelligence. Understand why Gradient Descent in Deep Learning is multidimensional calculus, why Backpropagation is the Chain Rule, and how Linear Algebra powers Transformers and LLMs. Includes hands-on Python code notebooks and first-principles derivations.
