Wednesday, February 19, 2020
Friday, February 14, 2020
Deep Learning
Deep learning is a subfield of the Machine Learning Science which is based on artificial neural networks. It has several derivatives such as Multi Layer Perceptron-MLP-, Convolutional Neural Networks -CNN- and Recurrent Neural Networks -RNN- which can be applied to many fields including Computer Vision, Natural Language Processing, Machine Translation...
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Tuesday, February 11, 2020
Metaheuristic Optimization
Metaheuristic optimization deals with optimization problems using metaheuristic algorithms. Optimization is essentially everywhere, from engineering design to economics and from holiday planning to Internet routing. As money, resources and time are always limited, the optimal utility of these available resources is crucially important.
Most real-world optimizations are highly nonlinear and multimodal, under various complex constraints. Different objectives are often conflicting. Even for a single objective, sometimes, optimal solutions may not exist at all. In general, finding an optimal solution or even sub-optimal solutions is not an easy task. This article aims to introduce the fundamentals of metaheuristic optimization, as well as some popular metaheuristic algorithms.Read More...
Metaheuristic Optimization for Automated Business Process Discovery
Research paper presentation at the 17th International Conference on Business Process Management (BPM'2019) in Vienna, 3 September 2019. Paper available at: http://kodu.ut.ee/~dumas/pubs/bpm2019-optimization.pdf
Presentation delivered by Adriano Augusto
Monday, February 10, 2020
Data Visualization with Power BI
Power BI is a business analytics service by Microsoft. It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Sunday, February 9, 2020
Thursday, February 6, 2020
Data analysis and Visualization with Python
Python is a great language for doing data analysis, primarily because of the fantastic ecosystem of data-centric Python packages. Pandas is one of those packages, and makes importing and analyzing data much easier. In this article , Pandas library used to analyze data on Country Data.csv file from UN public Data Sets of a popular ‘statweb.stanford.edu’ website.
Monday, February 3, 2020
Sunday, February 2, 2020
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