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DTSTART;TZID=Europe/Berlin:20230525T140000
DTEND;TZID=Europe/Berlin:20230525T160000
DTSTAMP:20260505T061150
CREATED:20230315T090600Z
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UID:6380-1685023200-1685030400@blog.rwth-aachen.de
SUMMARY:[:en]Low-Code AI with MATLAB[:]
DESCRIPTION:Der Eintrag ist nur auf English verfügbar. Building AI workflows interactively. \nLive Session: Thursday May 25th\, 2 PM – 4 PM (2 hours) \nInstructor: Dr. Kathi Kugler\, The MathWorks Academia Team \nIn this training you will learn how you can apply AI in your field without extensive knowledge in programming. This hands-on session includes a quick recap on the fundamentals of AI and three exercises where you will learn how to classify human activities such as walking\, sitting and lying down\, using MATLAB®\, interactive tools and apps: \n\nAccessing and preprocessing data acquired from a mobile device.\nApplying clustering to the unlabeled data using the Cluster Data Live Editor Task\nClassifying the labeled data using two apps: Classification Learner app and the Deep Network Designer app\n\nAt the end of the workshop\, you will be able to design and train different machine learning and deep learning models without extensive programming knowledge. You will also learn how to automatically generate code from the interactive workflow. This will not only help you to reuse the models without manually going through all the steps but also to learn programming or advance your coding skills. \nTo participate in this workshop\, you will need a MathWorks® account. \n  \nWho is this for? \nThe training is for students and researchers who want to get started with Artificial Intelligence in MATLAB and leverage interactive workflows. This training will enable you to solve simple classification and regression problems in MATLAB. \n  \nRegistration \nPlease register until May 23rd. \n  \nContact \nDr. Kathi Kugler <kkugler@mathworks.com>
URL:https://blog.rwth-aachen.de/itc-events/event/low-code-ai-with-matlab/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events
ORGANIZER;CN="HPC":MAILTO:hpcevent@itc.rwth-aachen.de
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DTSTART;TZID=Europe/Berlin:20230525T160000
DTEND;TZID=Europe/Berlin:20230525T170000
DTSTAMP:20260505T061150
CREATED:20230324T075509Z
LAST-MODIFIED:20230328T084255Z
UID:6438-1685030400-1685034000@blog.rwth-aachen.de
SUMMARY:[:en]Machine Learning Consultancy Hour #3[:]
DESCRIPTION:Der Eintrag ist nur auf English verfügbar. Machine Learning (ML) methods are being used frequently in research these days. However\, often non-experts in ML are faced with the problem of designing and building highly complex models and ML-environments to utilize useful features that ML brings. A high invest of time is needed to acquire the knowledge required to develop ML-models and the environment in which they can be deployed. \nTo support researchers from fields other than ML\, the CSG Data Science provides regular Consultancy Hours where researchers can pitch their specific ML-related problems to us. \nBased on the pitch our team will support the presenters afterwards in a consultative manner. \nIn order to join the Zoom meeting\, you can use the following link: \nhttps://tu-darmstadt.zoom.us/j/68557734988?pwd=aVc1S0hMczNwVC9mS3ZIajd0UDJ2Zz09
URL:https://blog.rwth-aachen.de/itc-events/event/machine-learning-consultancy-hour-3/
LOCATION:Online\, Deutschland
CATEGORIES:HPC Events,Machine Learning Consultancy Hour,Wiederkehrend
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