Platforms for Machine Learning and AI - Hands-on.
Are you ready to take a deep-dive into learning more about the different platforms and libraries for machine learning and AI? Then come and participate in this workshop and please bring your own laptop.
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.
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