scholarly journals Psicometría, perfiles y sesgos

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Juan Camilo Gómez
Keyword(s):  
Machine Learning ◽  
Big Data

Los estudios psicométricos permiten realizar mediciones basadas en correlaciones de vectores que producen predicciones de rasgos del comportamiento humano. Con la creciente digitalización, la psicometría ha sido usada para diseñar perfiles de los individuos a través de diversos mecanismos: big data, machine learning, etc. Lejos de ser neutrales, estos perfiles están basados en metodologías que producen sesgos que afectan a los individuos perfilados. Así, este artículo plantea que la psicometría elabora un perfil-dividuo que genera una reducción de los individuos y produce formas en las que estos tienen que comportarse. Para ello, se ejemplifica con un caso de medición psicométrica basada en el reconocimiento facial.

The Cross-Sectional Pricing of Corporate Bonds Using Big Data and Machine Learning

2020 ◽  
Author(s):  
Turan G. Bali ◽  
Amit Goyal ◽  
Dashan Huang ◽  
Fuwei Jiang ◽  
Quan Wen
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Corporate Bonds ◽  
Cross Sectional ◽  
The Cross

Identifying Cancer Targets Based on Machine Learning Methods via Chou’s 5-steps Rule and General Pseudo Components

2019 ◽  
Vol 19 (25) ◽  
pp. 2301-2317 ◽  
Author(s):  
Ruirui Liang ◽  
Jiayang Xie ◽  
Chi Zhang ◽  
Mengying Zhang ◽  
Hai Huang ◽  
...  
Keyword(s):  
Machine Learning ◽  
Growth Rate ◽  
Big Data ◽  
Human Genome Project ◽  
Genome Project ◽  
Support Vector ◽  
Successful Implementation ◽  
Learning Methods ◽  
Machine Learning Methods ◽  
Vector Machines

In recent years, the successful implementation of human genome project has made people realize that genetic, environmental and lifestyle factors should be combined together to study cancer due to the complexity and various forms of the disease. The increasing availability and growth rate of ‘big data’ derived from various omics, opens a new window for study and therapy of cancer. In this paper, we will introduce the application of machine learning methods in handling cancer big data including the use of artificial neural networks, support vector machines, ensemble learning and naïve Bayes classifiers.

Big data Predictive Analytics for Apache Spark using Machine Learning

2020 ◽  
Author(s):  
Muhammad Junaid ◽  
Shiraz Ali Wagan ◽  
Nawab Muhammad Faseeh Qureshi ◽  
Choon Sung Nam ◽  
Dong Ryeol Shin
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Predictive Analytics ◽  
Apache Spark
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