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1481Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-Implementation Guidelinespor Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.“…To guide how one can tackle these challenges, we extend the PCS (predictability, computability, stability) framework, a data science framework that incorporates best practices from machine learning and statistics in supervised learning to the design of RL algorithms for the digital interventions setting. …”
Publicado 2022
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1482“…By generalized pre-annotation, khipu makes it feasible to connect metabolomics data with common data science tools, and supports flexible experimental designs.…”
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1483por Muinde, John, Tanga, Chrysantus M., Olukuru, John, Odhiambo, Clifford, Tonnang, Henri E. Z., Senagi, Kennedy“…This study explored data science and machine learning modeling approaches to discern optimal rearing conditions for improved BSFL farming. …”
Publicado 2023
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1484por Sirosh, Joseph“…--HTML--><p style="text-align:justify;"> Joseph Sirosh will talk about how the cloud is changing the picture for data science and machine learning. Bringing the power of the cloud to machine learning makes it possible to dramatically compress the time it takes to develop and deploy analytics in production. …”
Publicado 2015
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1485
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1486
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1487por Bell, Tim, Canali, Luca, Grancher, Eric, Lamanna, Massimo, McCance, Gavin, Mato Vila, Pere, Piparo, Danilo, Moscicki, Jakub, Pace, Alberto, Brito Da Rocha, Ricardo, Simko, Tibor, Smith, Tim, Tejedor Saavedra, Enric“…Some of those platforms and tools, typically available as open source products, are experiencing a very fast adoption in industry and science such that they are becoming “de facto” references in several areas of data engineering, data science and machine learning. In parallel to users' requests, WLCG is considering to consolidate its deployment model into a relatively reduced number of resource sites (while benefiting from potentially ephemeral resources like public cloud and large installations like experiment filter farms, HPC facilities, analysis centres). …”
Publicado 2017
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1488“…Once equipped with the main tools and concepts from this book, students will be prepared for further study in differential equations, numerical analysis, data science and statistics, and a broad range of applications. …”
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1489por Blaszkiewicz, Milosz“…Our analysis application has several requirements to fulfill: correctness of the results, capacity to work interactively using data-science notebooks, scalability of the solution, simple and easy way to visualize the results, use of existing storage services. …”
Publicado 2019
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1490por Saari, Donald G“…Mathematics of Finance is ideal for undergraduates from a variety of backgrounds, including mathematics, economics, statistics, data science, and computer science. Students should have experience with the standard calculus sequence, as well as a familiarity with differential equations and probability. …”
Publicado 2019
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1491por Lorusso, Marco“…In the past few years, using Machine and Deep Learning techniques has become more and more viable, thanks to the availability of tools which allow people without specific knowledge in the realm of data science and complex networks to build AIs for a variety of research fields in the context of High Energy Physics, new algorithms based on ML are being tested for event selection in trigger operations, end-user physics analysis, and more. …”
Publicado 2023
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1492“…We also describe four major data science concepts and related heuristics that can help guide practitioners in their choices of the right tools for the right biological questions.…”
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1493“…Requirements for performance in the complex biological environment lead to difficult a priori rational design choices and time-consuming empirical trial-and-error experimentation. Modern data science practices, especially artificial intelligence (AI)/machine learning (ML), offer the promise to help accelerate the identification and testing of next-generation biomaterials. …”
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1494“…EDA is a critical component of any data science or machine learning process. The exploration and analysis of the sensor data from experimental trials has facilitated the identification of an optimal configuration, with an average reduction in preheating time of one hour. …”
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1495“…In the field of machine learning (ML) and data science, it is meaningful to use the advantages of ML to create reliable interatomic potentials. …”
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1496“…In contrast, the advent of omics-based technologies and big data science has raised global hope of curing or treating NCDs and improving overall healthcare outcomes. …”
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1497por Wang, Yuxue, Su, Tianhao, Cui, Yaning, Ma, Xianzhe, Zhou, Xue, Wang, Yin, Hu, Shunbo, Ren, Wei“…Nowadays, with the advent of artificial intelligence, research approaches based on data science have achieved excellent results in material exploration. …”
Publicado 2023
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1498por Zhu, Shun-Peng, De Jesus, Abílio M. P., Berto, Filippo, Michopoulos, John G., Iacoviello, Francesco, Wang, Qingyuan“…The issue focuses on physics-informed machine learning and its applications for structural integrity and safety assessment of engineering systems/facilities. Data science and data mining are fields in fast development with a high potential in several engineering research communities; in particular, advances in machine learning (ML) are undoubtedly enabling significant breakthroughs. …”
Publicado 2023
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1499por Gu, Shiyao, Luo, Qingyong, Wen, Cen, Zhang, Yu, Liu, Li, Liu, Liu, Liu, Su, Chen, Chunhua, Lei, Qian, Zeng, Si“…There has been increasing interest and rapid developments in precision medicine, which is a new medical concept and model based on individualized medicine with the joint application of genomics, bioinformatics engineering, and big data science. By applying numerous emerging medical frontier technologies, precision medicine could allow individualized and precise treatment for specific diseases and patients. …”
Publicado 2023
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1500por Ospina, Raydonal, Ferreira, Adenice G. O., de Oliveira, Hélio M., Leiva, Víctor, Castro, Cecilia“…Therefore, the present study offers valuable insights for leveraging data science techniques in the diagnosis and management of cardiovascular diseases.…”
Publicado 2023
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