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[2] Computational methods have been applied in various fields of economics research, including but not limiting to: Econometrics: Non-parametric approaches, semi-parametric approaches, and machine learning. Dynamic systems modeling: Optimization, dynamic stochastic general equilibrium modeling, and agent-based modeling. [3]
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
Business and management research is a systematic inquiry that helps to solve business problems and contributes to management knowledge. It Is an applied research. Four factors (Easterby-Smith, 2008) combine to make business and management a distinctive focus for research : Transdiscipline approach
Automated decision-making involves using data as input to be analyzed within a process, model, or algorithm or for learning and generating new models. [7] ADM systems may use and connect a wide range of data types and sources depending on the goals and contexts of the system, for example, sensor data for self-driving cars and robotics, identity data for security systems, demographic and ...
It also is a buzzword [7] and is frequently applied to any form of large-scale data or information processing (collection, extraction, warehousing, analysis, and statistics) as well as any application of computer decision support system, including artificial intelligence (e.g., machine learning) and business intelligence.
Machine learning (ML) is a subfield of artificial intelligence within computer science that evolved from the study of pattern recognition and computational learning theory. [1] In 1959, Arthur Samuel defined machine learning as a "field of study that gives computers the ability to learn without being explicitly programmed". [ 2 ]
It is also a technique used at least since the 1950s as a creativity tool, most frequently mentioned in engineering books on design methods. MEA is also related to means–ends chain approach used commonly in consumer behavior analysis. [2] It is also a way to clarify one's thoughts when embarking on a mathematical proof.
CHAID is based on a formal extension of AID (Automatic Interaction Detection) [4] and THAID (THeta Automatic Interaction Detection) [5] [6] procedures of the 1960s and 1970s, which in turn were extensions of earlier research, including that performed by Belson in the UK in the 1950s. [7] In 1975, the CHAID technique itself was developed in ...