Essential Tools for Deep Learning and Data Science
English | 2020 | h264, yuv420p, 1920x1080 | 48000 Hz, 2channels | Duration: 41m | 190 MB
English | 2020 | h264, yuv420p, 1920x1080 | 48000 Hz, 2channels | Duration: 41m | 190 MB
Learn the most important tools in the repertoire of a data scientist and machine learning practitioner - Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) - with the help of Krishnendu Chaudhury, a deep learning and computer vision expert with decade-long stints at both Google and Adobe Systems.