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Uporaba programskega jezika Julia za namene podatkovne znanosti
Programski jezik Julia je v zadnjih letih pridobil veliko pozornosti zaradi svoje edinstvene kombinacije zmožnosti programiranja na …
Tadej Lahovnik
,
Grega Vrbančič
,
Vili Podgorelec
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DOI
Digital Transformation Using Artificial Intelligence and Machine Learning: An Electrical Energy Consumption Case
Companies nowadays eagerly compete in providing their customers with the best possible services, where the companies in the electrical …
Vili Podgorelec
,
Sašo Karaktič
,
Iztok Jr. Fister
,
Lucija Brezočnik
,
Špela Pečnik
,
Grega Vrbančič
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Synthetic Data Augmentation of Cycling Sport Training Datasets
Planning sport sessions automatically is becoming a very important aspect of improving an athlete’s fitness. So far, many …
Iztok Fister
,
Grega Vrbančič
,
Vili Podgorelec
,
Iztok Jr. Fister
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DOI
Keras with Tensorflow - How to flush CUDA Memory
As a young researcher working in the field of machine learning, I am on a regular basis utilizing GPUs to train different kinds of neural networks such as convolutional neural networks to tackle various problems.
Grega Vrbančič
May 10, 2020
3 min read
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How to utilize NiaPy for solving KNN parameter optimization problem?
In the following, I’m going to present to you, an example on how to utilize NiaPy micro-framework 1 for solving the parameter optimization problem of K-nearest neighbors classifier 2 against very common Breast Cancer Wisconsin (Diagnostic) Data Set 3.
Grega Vrbančič
Last updated on Oct 2, 2019
10 min read
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