Explores Stochastic Gradient Descent and Mean Field Analysis in two-layer neural networks, emphasizing their iterative processes and mathematical foundations.
Covers the process of identifying and evaluating business opportunities, developing marketing strategies, navigating the funding universe, seed funding, expansion funding, crowdfunding, and cash management.
Delves into Topological Data Analysis, emphasizing the mathematical foundations of neural networks and exploring the manifold hypothesis and persistent homology.
Explores maximal correlation in information theory, mutual information properties, Renyi's measures, and mathematical foundations of information theory.
