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

Heuristics And Meta-Heuristics in AI

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.

Top 10 Machine learning algorithms


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.

Data Warehouse - Online Analytical Processing (OLAP)

Excel Tutorial: What is Business Intelligence and an OLAP Cube? | ExcelCentral.com

What is OLAP?

Data Clustering with R

Regression and Classification with R

An Introduction to Data Mining with R

Data Warehousing and Data Mining