# Mathematics 1,280 courses and talks. - [Focus Group 9 // Data Analysis in Particle Physics](https://invisiblenetwork.ai/learn/cern/3000917): Volodymyr Zavalniuk and others · CERN - [Big data analysis and machine learning in the cloud](https://invisiblenetwork.ai/learn/cern/2302501): Michal Bien · CERN - [Analysis and Modeling of Storage Access Patterns and Caching Strategies](https://invisiblenetwork.ai/learn/cern/2302455): Shreya Krishnan · CERN - [Deep I/O performance analysis of CVMFS using modern Linux tools](https://invisiblenetwork.ai/learn/cern/2302530): Shahnur Isgandarli · CERN - [Analysis of radiological data acquired during LHC Run 2 (2018)](https://invisiblenetwork.ai/learn/cern/3018930): Andrea Kozlowski · CERN - [A Jupyter-based Interface Integrated with ROOT for ATLAS Open Data Analysis](https://invisiblenetwork.ai/learn/cern/3012615): Yixin Wang · CERN - [Focus Group 2 // Data Analysis in Particle Physics](https://invisiblenetwork.ai/learn/cern/3006068): Rachel Alison Schnitzerling and others · CERN - [Foundation of Statistics - 3/3](https://invisiblenetwork.ai/learn/cern/3016439): Nicolas Berger · CERN - [Deep Dive into the Kubecon Higgs Analysis Demo](https://invisiblenetwork.ai/learn/cern/3017914): Ricardo Brito Da Rocha and Lukas Alexander Heinrich · CERN - [Foundation of Statistics - 2/3](https://invisiblenetwork.ai/learn/cern/3007015): Nicolas Berger · CERN - [Foundation of Statistics - 1/3](https://invisiblenetwork.ai/learn/cern/3018936): Nicolas Berger · CERN - [Flat Minkowski solutions from M-theory on G2 structure manifolds](https://invisiblenetwork.ai/learn/cern/3016156): Giuseppe Dibitetto · CERN - [Machine-Learning Algebraic & Geometric Structures: Implications to String Pheno](https://invisiblenetwork.ai/learn/cern/3007150): Yang-Hui He · CERN - [On de Sitter realisations in gravity and string theory](https://invisiblenetwork.ai/learn/cern/3001679): Elias Kiritsis · CERN - [Pion scattering: from Lovelace-Shapiro to Neveu-Schwarz and beyond](https://invisiblenetwork.ai/learn/cern/3015119): Massimo Bianchi · CERN - [Unification of Symmetries from Strings](https://invisiblenetwork.ai/learn/cern/3015110): Patrick Vaudrevange · CERN - [SU(3) structures on Calabi-Yau manifolds](https://invisiblenetwork.ai/learn/cern/3010685): Magdalena Larfors · CERN - [De-conjecturing de Sitter](https://invisiblenetwork.ai/learn/cern/3007275): Frederik Denef · CERN - [Phases of little string theory and fuzzballs](https://invisiblenetwork.ai/learn/cern/3017633): Stefano Massai · CERN - [Comments on F-theory/heterotic duality in 8 dimensions](https://invisiblenetwork.ai/learn/cern/3014952): Anamaria Font · CERN - [Moduli for generic N=1 flux backgrounds](https://invisiblenetwork.ai/learn/cern/3014997): Dan Waldram · CERN - [New G2 conifolds in M theory and their Gauge Theory Interpretations](https://invisiblenetwork.ai/learn/cern/3014819): Bobby Acharya · CERN - [G2 and String Dualities](https://invisiblenetwork.ai/learn/cern/3014985): Andreas Braun · CERN - [The Swampland, Moduli and Holography](https://invisiblenetwork.ai/learn/cern/3015006): Joe Conlon · CERN - [High charges in M-theory and F-theory](https://invisiblenetwork.ai/learn/cern/3015002): Roberto Valandro · CERN - [5d SCFTs and their gauge theory phases](https://invisiblenetwork.ai/learn/cern/3014978): Michele del Zotto · CERN - [Singularities and F-theory](https://invisiblenetwork.ai/learn/cern/3015111): Antonella Grassi · CERN - [M-theory singularities: Going beyond Dynkin diagrams](https://invisiblenetwork.ai/learn/cern/3010584): Andres Collinucci · CERN - [Using CVMFS for User Analysis Code Distribution](https://invisiblenetwork.ai/learn/cern/3004854): Dave Dykstra · CERN - [JASMIN - Climate and Earth-system Science Data Analysis with OpenStack](https://invisiblenetwork.ai/learn/cern/3013228): Jonathan Churchill · CERN - [ALICE EMCAL Data Analysis](https://invisiblenetwork.ai/learn/cern/3009378): Cristian Danny Ramos · CERN - [Dual Readout Calorimetry Signal Analysis with Neural Networks](https://invisiblenetwork.ai/learn/cern/3009201): Murali Saravanan · CERN - [Mathematical Modeling of Real World Processes](https://invisiblenetwork.ai/learn/cern/3012091): Barbara Wagner · CERN - [Mathematical Modeling of Real World Processes](https://invisiblenetwork.ai/learn/cern/3011261): Barbara Wagner · CERN - [Positive Geometry of Effective Field Theory 4](https://invisiblenetwork.ai/learn/cern/3006481): Nima Arkani-Hamed · CERN - [Positive Geometry of Effective Field Theory 3](https://invisiblenetwork.ai/learn/cern/3014463): Nima Arkani-Hamed · CERN - [Positive Geometry of Effective Field Theory 1](https://invisiblenetwork.ai/learn/cern/3002683): Nima Arkani-Hamed · CERN - [Positive Geometry of Effective Field Theory 2](https://invisiblenetwork.ai/learn/cern/3002545): Nima Arkani-Hamed · CERN - [A GPU-based framework for multi-variate analysis in particle physics](https://invisiblenetwork.ai/learn/cern/3000417): Xuefeng Ding · CERN - [Review of Linear Algebra Applications in Some Recent Neutrino Experiments](https://invisiblenetwork.ai/learn/cern/3000395): Xin Qian · CERN - [Introductory Statistics Course - Part II](https://invisiblenetwork.ai/learn/cern/3001836): Glen Cowan · CERN - [Introductory Statistics Course - Part I](https://invisiblenetwork.ai/learn/cern/3000412): Louis Lyons · CERN - [HEP Analysis workloads for the benchmarking suite](https://invisiblenetwork.ai/learn/cern/3011846): Dominika Kankowska · CERN - [Updated angular analysis of the decay $B^{0}\rightarrow K^{*0}(\to K^+ \pi^-)\mu^{+}\mu^{-}$](https://invisiblenetwork.ai/learn/cern/3015555): Eluned Anne Smith · CERN - [How will we do mathematics in 2030?](https://invisiblenetwork.ai/learn/cern/3018564): Michael Douglas · CERN - [Data Platform for collection, storage, integration, analysis and distribution](https://invisiblenetwork.ai/learn/cern/3016866): Diamantis Patsidis · CERN - [Foundation of Statistics - 4/4 LIVE](https://invisiblenetwork.ai/learn/cern/3000085): Glen Cowan · CERN - [Foundation of Statistics - 3/4 LIVE](https://invisiblenetwork.ai/learn/cern/3000479): Glen Cowan · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=maths&page=24)