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VERSION:2.0
PRODID:-//CERN//INDICO//EN
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SUMMARY:Machine learning with Python
DTSTART:20261130T080000Z
DTEND:20261130T120000Z
DTSTAMP:20261030T110300Z
UID:indico-event-569@events.hpc-portal.eu
DESCRIPTION:\nExplore Machine Learning Methods and Algorithms with Python
 \n\n \n \nPython is one of the dominant languages in the area of machine
  learning. This training will provide an introduction to machine learning 
 methodology as well as some machine learning algorithms. \nProgramme  
 \nSubjects and Python modules that will be covered:\n\nwhat is machine lea
 rning\, and what is AI?\npipelines for data ingestion\, training and testi
 ng: scikit-learn\nexamples of classic algorithms: scikit-learn\n\nprincipa
 l component analysis\nRidge regression\nNaive Bayes classifier\nk-means cl
 ustering\n\n\nexamples of (deep) neural networks: Keras\n\nmulti-layer per
 ceptron for image classification\nconvolutional neural network for image c
 lassification\nrecurrent neural networks for sentiment analysis \n\n\n\nL
 earning objectives \nWhen you complete this training you will\n\nhave an 
 understanding of the architecture and features of GPGPUs\,\nbe able to tra
 nsfer data between the host and the GPGPU device\,\nbe able to do linear a
 lgebra computations on GPGPUs using scikit-cuda\,\nbe able to generate ran
 dom numbers on a GPGPU using curand\,\nbe able to define your own kernels 
 to run on GPGPUs\,\nuse numba to generate kernels to run on GPGPUs\,\nrun 
 machine learning algorithms on GPGPUs\,\nspeed up data science tasks using
  Rapids.\n\n\nhttps://events.hpc-portal.eu/event/569/
LOCATION:KU Leuven
URL:https://events.hpc-portal.eu/event/569/
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