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:

• RStudio on laptop and its cloud platform Posit for R. This will include the open-source R-package Bioconductor for bioinformatics.
• Anaconda on laptop and the Spyder IDE (Integrated Development Environment) for Python.
• The Google Colab cloud platform with Tensorflow for machine learning and ai using libraries from Hugging Face applying pretrained LLM model from OpenAI.
• Examples using LLM cloud for coding in R and Python.

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.