Ponedeljkov seminar računalništva in informatike - Arhiv

V ponedeljek, 5. septembra 2022, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 5. september 2022 ob 16.00 na daljavo

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PREDAVATELJ: Vanja MILESKI
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After graduating from the Faculty of Computer and Information Science at the University of Ljubljana in 2015, Vanja Mileski started working at the Jožef Stefan Institute (JSI). He was a Master's student at the International Postgraduate School Jožef Stefan and a student researcher at the JSI. After finishing his Master's studies, he applied his knowledge of data mining in the private sector as a Data Scientist in the retail, telecommunications, banking, stock market and insurance sectors.
His current research interests include time-series classification, deep learning, ResNet and Inception architectures.

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NASLOV: Deep learning for churn prediction in retail using residual networks
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POVZETEK:

With the advancements in Convolutional Neural Network (CNN) architectures, residual networks (ResNets) have proven successful on time series data as well. Time series features can be viewed as one-dimensional vectors, using which which we can train a deeper network using a ResNet-like architecture. Churn prediction is the process of identifying people that will cease to be customers in the future. We implement a ResNet architecture on real-life data of customer shopping habits obtained from a large retailer in Slovenia and compare them to traditional ML techniques.

Vabljeni!