This talk introduces a selection of platforms and libraries for machine learning and AI.
The aim is to distribute code for hands-on verification and distribute links to open-source publications as background material.
The presentation language will be English if preferred by some of the participants.
The following laptop/cloud platforms are included:
More information about the speaker:
John Aa. Sørensen, PhD EE, Assoc. Prof. in Section ‘AI, Mathematics and Software’, DTU Engineering Technology until 2022.08.31.
Present research interests: Topological data analysis, machine learning, data visualization and analysis, signal processing and applications within these areas.
The research summary includes:
Co-authored/authored above 50 peer reviewed conference/journal papers.
Co-editor of 3 books. Co-authored 1 patent (medical device), authored 1 patent (new cross-layer application of wireless network). Member of technical program committees of 39 international conferences within the research interests. General Co-Chair of IEEE International Workshop on Multimedia Signal Processing (MMSP), 2005, Shanghai. Technical Program Co-Chair and economically responsible for IEEE International Workshop on MMSP, Denmark, 1999. Technical Program Co-Chair and economically responsible for the IEEE Workshop on Neural Networks for Signal Processing (NNSP), 1992 Denmark. Chair of MMSP Technical Committee (TC) of IEEE Signal Processing Society (SPS) 2002 - 2003. Founding member of MMSPTC IEEE SPS 1996. Founding member of NNSPTC IEEE SPS 1991-1995. The NNSPTC later migrated into ‘Machine Learning and Signal Processing’ MLSPTC of IEEE SPS.
Life Senior Member of IEEE.