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1
ODSCEAST — ODSC East 2024
23. Apr 2024 - 25. Apr 2024 • Boston, Vereinigte Staaten
Veranstalter:
Open Data Science Conference
Zusammenfassung:
The ODSC East in-person conference will feature 200+ speakers, instructors, and practitioners, 3,000 of your fellow data scientists, and expert-led, hands-on instruction in in-demand topics and tools, previous included:

NLP | Python | Responsible AI | TensorFlow | PyTorch | Conversational AI | OpenAI | Cybersecurity | Data Visualization | scikit-learn | MLOps | Data Engineering | Machine Learning | and much more

Kontakt:
Email: iryna@odsc.com
Themen:
Data Science, Artificial Intelligence
Eintrags-ID:
1591845
2
Data-Driven Materials Informatics — Statistical Methods and Mathematical Analysis
04. Mai 2024 - 24. Mai 2024 • Chicago, IL, Vereinigte Staaten
Veranstalter:
Institute for Mathematical and Statistical Innovation
Zusammenfassung:
Materials informatics is an emerging field defined by the use of simulation tools combined with methods from data sciences and machine learning to better understand materials properties and design innovative materials. The models which are considered cover an extremely wide range, from Schrödinger’s equation, which describes matter at the (sub)atomistic scale, to the equations of continuum mechanics. Mathematical sciences play a key role in materials informatics, both to construct the databases used to train machine learning algorithms (since these databases are made of reference simulation results), and to harness them in order to extract the most relevant information. The aim of this program is bring together a diverse scientific audience, both between scientific fields (physical sciences, materials sciences, biophysics, etc) and within mathematics (mathematical modeling, numerical analysis, statistics and data analysis, etc), to make progress on key questions of materials informatics.
Eintrags-ID:
1578010
Verwandte Fachgebiete:
3
LS24 — SIAM Conference on the Life Sciences
10. Jun 2024 - 13. Jun 2024 • Portland, Oregon, Vereinigte Staaten
Veranstalter:
Society for Industrial and Applied Mathematics (SIAM)
Zusammenfassung:
This conference is co-located with the SIAM Conference on Mathematics of Planet Earth (MPE24). This is the conference of the SIAM Activity Group on Life Sciences. The life sciences have become increasingly quantitative as new technologies facilitate collection and analysis of vast amounts of data ranging from complete genomic sequences of organisms to satellite imagery of forest landscapes on continental scales. As a consequence, mathematics and computational science have become crucial technologies for the study of complex models of biological processes.
Eintrags-ID:
1570438
Verwandte Fachgebiete:
4
PEARC '24 — Practice and Experience in Advanced Research Computing
21. Jul 2024 - 25. Jul 2024 • Providence , RI, Vereinigte Staaten
Veranstalter:
Beginning with the PEARC20 conference, the PEARC conference series is sponsored by the Association for Computing Machinery (ACM) and its HPC and Applications special interest groups (SIGAPP and SIGHPC).
Zusammenfassung:
The ACM Practice and Experience in Advanced Research Computing (PEARC) Conference Series is a community-driven effort that unites cyberinfrastructure and research computing practitioners, developers, and users by providing a forum for discussing ideas, findings, techniques, tools, and experiences. The PEARC Conference welcomes a broad range of participants and offers a diverse, equitable, and inclusive conference experience.
Eintrags-ID:
1605643
5
MDS24 — SIAM Conference on Mathematics of Data Science
21. Okt 2024 - 25. Okt 2024 • Atlanta, Georgia, Vereinigte Staaten
Veranstalter:
Society for Industrial and Applied Mathematics (SIAM)
Eintrags-ID:
1570400
Verwandte Fachgebiete:
6
Detection, Estimation, and Reconstruction in Networks
21. Apr 2025 - 25. Apr 2025 • Berkeley, Kalifornien, Vereinigte Staaten
Veranstalter:
Simons Laufer Mathematical Sciences Institute (SLMath)
Zusammenfassung:
In a growing number of applications, one needs to analyze and interpret data coming from massive networks. The statistical problems arising from such applications lead to important mathematical challenges: building novel probabilistic models, understanding the possibilities and limitations for statistical detection and inference, designing efficient algorithms, and understanding the inherent limitations of fast algorithms. The workshop will bring together leading researchers in combinatorial statistics, machine learning, and random graphs in the hope of cross-fertilization of ideas.
Themen:
combinatorial statistics, random graphs, network inference, network reconstruction, detection, estimation
Eintrags-ID:
1571331


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