This is the March 2022 PyData meetup.
Abstract
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For many years deploying a Machine Learning model was a process that required time, expertise, and many resources. Automated Machine Learning was created as an Artificial Intelligence solution to this growing challenge, and it is a method that automated all the stages that are traditionally part of Machine Learning modelling, from data acquisition to model deployment in production. In this talk we will describe the problem of applying Machine Learning in real-world applications, and present Impact Tech's state-of-the-art AutoML solution.
Bio
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Dr. Georgina Tryfou is the Head of AI and a Senior Data Scientist at Impact Tech LTD. She holds a PhD in the topic of time-frequency representations for speech and singing voice. She has a long experience in a wide range of topics related to speech, singing voice, and music signals with a strong background in speech recognition, machine learning and data analysis.
www.pydata.org
PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R.
PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
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