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UID:855@vtad.de
DTSTART;TZID=Europe/Berlin:20240611T183000
DTEND;TZID=Europe/Berlin:20240611T200000
DTSTAMP:20240503T134421Z
URL:https://www.vtad.de/rgt/machine-learning-with-technical-analysis-with-
 sandra-nieto-english/
SUMMARY:Developments in Technical Analysis with Machine Learning (English)
DESCRIPTION:This webinar explores the significant role of machine learning 
 (ML) in technical analysis for financial markets\, emphasizing both classi
 cal approaches and the cutting-edge potential of deep learning algorithms.
  We will outline the distinctions between supervised and unsupervised lear
 ning\, and how these methodologies uncover patterns in market data\, revol
 utionizing technical analysis. Additionally\, we will highlight the emergi
 ng role of generative AI\, showcasing practical use cases.\nCarlos Jauregu
 ízar is the CEO of Robexia AI Lab\, an Artificial Intelligence laborator
 y specializing mainly in quantitative analysis. He is also the founder and
  vice-president of IEATEC and the founder and president of IDIASEF. Academ
 ically\, Carlos Jaureguízar holds a Bachelor's degree in Economics (UAM)\
 , a Master's in Financial Markets (UAM)\, and a Ph.D. in Applied Economics
  with cum laude distinction from URJC.\n\nSandra Nieto is the current pre
 sident of IEATEC and COO at Robexia AI Lab. She holds a Bachelor's degree 
 in Communication (UMA) and specialized in marketing and advertising (UCM).
  She is CESGA certified and has a Master's in Artificial Intelligence from
  the IIA Institute. Working in the financial sector\, she developed an int
 erest in technical analysis\, contributing to several articles on the subj
 ect.
CATEGORIES:VTAD Webinar
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