30 results
Optimización de robots de tradingclose

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Autores: Cobiella Hernández, Álvaro

Etiquetas: this work aims to analyze coca cola's assets and subsequently develop different trading robots to compare their real-world results. the current context highlights the significant importance of this type of trading method in the real world, as they account for up to 70% of the total volume of transactions in the stock market. the study concludes the high effectiveness and customization of these automated trading robots, which enable optimal exploitation of the stock market, as well as the need for understanding the asset for the correct selection and adaptation of robots to the specific characteristics of each asset and market., python, matlab, algorithmic trading, s&p 500, machine learning, programming, regression, classification.

La ética en los procesos de selección laboral mediante inteligencia artificialclose

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Autores: García Blanco, Alberto

Áreas temáticas: 71 - ética, 7103 - ética de grupo, 7103.03 - ética económica

Etiquetas: inteligencia artificial, sesgo, ética, selección, currículo, regresión, artificial intelligence, bias, ethics, recruiting, curriculum, regression

La Causalidad de Granger en el análisis y la previsión de series temporales clásicas, de intervalo y de historiograma. Aplicación de mercados financieros.close

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Autores: Acín Coello De Portugal, Cristina

Áreas temáticas: 33 - ciencias tecnológicas, 3304 - tecnología de los ordenadores , 3304.12 - dispositivos de control

Etiquetas: series temporales de intervalo, series temporales de histograma, regresión, matlab, causalidad de granger, oro, petróleo, interval time series, histogram time series, regression, granger causality, gold, brent

Análisis multivarible sobre cómo la pandemia ha afectado a las ventas de Coca-Colaclose

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Autores: Álvarez Gutiérrez, Cristina

Áreas temáticas: 12 - matemáticas, 1203 - ciencia de los ordenadores , 1203.02 - lenguajes algorítmicos, 33 - ciencias tecnológicas, 3325 - tecnología de las telecomunicaciones

Etiquetas: r studio, machine learning, regresión, clustering, contribución., regression, contribution.

Cálculo de elasticidades para la predicción de la demanda y la optimización de precios en el sector retailclose

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Autores: Aldrey Pastor, Guillermo José

Etiquetas: elasticidad, precio, optimización, regresión, supermercado, demanda, elasticity, price, optimization, regression, supermarket

LA PANDEMIA SILENCIOSA: ANÁLISIS DE LA CONTAMINACIÓN ACÚSTICA DURANTE EL CONFINAMIENTO POR COVID-19 EN LA COMUNIDAD DE MADRIDclose

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Autores: Sanjuan López De Ayala, Ramón

Etiquetas: this study carries out a detailed examination of noise pollution in the community of madrid during the unprecedented period of the covid-19 pandemic. using meticulously collected data from the noise measurement stations in the community of madrid and selected variables to reflect influences related to weather, holidays, and vehicle circulation restrictions, we have been able to create a detailed portrait of how the pandemic has altered noise patterns in the region. the application of a multiple regression model in the r software has allowed the identification and quantification of significant relationships between these variables and noise levels. at the same time, we have been able to underscore the impacts of noise pollution on the health and wellbeing of the population, an issue often overlooked in public debate but of growing importance. in addition, in order to facilitate an intuitive understanding of the impact of noise pollution, we have used the folium library in python for the visual representation of data and the results obtained. these spatial maps of the community of madrid have allowed to appreciate the differences more fully in noise levels by zones during the study period. this work makes a valuable contribution to understanding how confinement measures and vehicle restrictions can affect noise pollution, providing solid and quantifiable evidence that can be useful in urban planning and public policy decision-making. in summary, the study forcefully underlines the need to pay attention to the management of noise pollution, evidencing its importance for public health and overall social wellbeing. it highlights the need for greater awareness and action in this area, calling on all stakeholders to take steps to address this persistent but solvable urban problem., comunidad de madrid, lockdown, python.

Generación de datasets de imágenes sintéticas, análisis de resultados con CNNs y estudio de aplicación en escenarios industriales.close

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Etiquetas: synthetic database, pick & place, regresor, yolo, artificial vision, dataset sintético, visión artificial, regression

Model to predict and optimize product flows for Amazon’s warehouses in Italy.close

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Etiquetas: vueltas de inventario, inventory turns, logística, optimización, optimization, restricciones, regresión, constraints, regression, logistics

Creación de una métrica financiera para la evaluación de empresas mediante un modelo de Machine Learningclose

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Etiquetas: sobrecostes, electric market, modelization, overcost, predicction, predicción, regresión, machine learning, mercado eléctrico, modelización, regression

Do ESG investments generate Alpha?close

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Etiquetas: alpha, alfa, agrupación, acquisition, adquisición, regresión, regression, esg, dataset, clustering