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Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
Ministry of Research and Technology of the Republic of Indonesia (abbreviated as Kemenristek, or RISTEK-BRIN on its logo) was a government ministry that has the task of conducting affairs in the field of research, science and technology to assist the President of Indonesia in carrying out state.
The Research Organization for Electronics and Informatics (Indonesian: Organisasi Riset Elektronika dan Informatika, OREI) is one of Research Organizations under the umbrella of the National Research and Innovation Agency (Badan Riset dan Inovasi Nasional, BRIN). On 24 January 2022, the formation of the agency is announced and to be formed on 1 ...
The Research Organization for Life Sciences and Environment (Indonesian: Organisasi Riset Ilmu Pengetahuan Hayati dan Lingkungan, ORIPHL but also known as ORHL) is one of Research Organizations under the umbrella of the National Research and Innovation Agency (Badan Riset dan Inovasi Nasional, BRIN).
The BAS usually requires a student to take a majority of their courses in the applied sciences, specializing in a specific area such as the following: . Agricultural systems
Founded on 1 September 2021 as ORPA (Organisasi Riset Penerbangan dan Antariksa), ORPA was transformation of LAPAN after the liquidation of LAPAN into BRIN.As research organization of BRIN, as outlined in Article 175 and Article 176 of Chief of BRIN Decree No. 1/2021, every Research Organizations under BRIN are responsible and answered to Chief of BRIN.
Deep learning is a subset of machine learning that focuses on utilizing neural networks to perform tasks such as classification, regression, and representation learning.The field takes inspiration from biological neuroscience and is centered around stacking artificial neurons into layers and "training" them to process data.
Before data mining algorithms can be used, a target data set must be assembled. As data mining can only uncover patterns actually present in the data, the target data set must be large enough to contain these patterns while remaining concise enough to be mined within an acceptable time limit. A common source for data is a data mart or data ...