Deep Learning Paradigm
Tim and Alex discuss the shift from SVMs to deep learning, highlighting the power of learning sequences in deep learning and the growing complexity of Gaussian processes. They delve into the advantages and limitations of each approach when dealing with varying amounts of data and structured versus unstructured data.In this clip
From this podcast

Machine Learning Street Talk (MLST)
Kernels!
Related Questions