Talks

ai, brain, central processing unit, computing, deep learning, graphics processing unit, internet of things, machine learning, machine learning tools, mentorship, ml, research, science, twitter, artificial neural network, convolutional neural network, density, efficient energy use, embedded system, mathematical optimization, matrix (mathematics), matrix multiplication, program optimization, sparse matrix, theory, vector space, watt, sparse networks, kernel (linear algebra), machine learning platform, numenta

collaborative filtering, data science, differential privacy, machine learning, math, adjacency matrix, continued fraction, distance, expected value, infinity, likelihood function, logarithm, matrix (mathematics), maximum likelihood estimation, norm (mathematics), parameter, sequence, universe, university of california, berkeley, vertex (graph theory), mathematical statistics, applied and computational geometry, applied mathematics, simulation and modeling, sparse networks, maximum cut, mathematical analysis, homomorphism density, knot (mathematics), large deviations theory