# Mathematics 1,280 courses and talks. - [SU(N) Gauge Theories at Large N and Non-Commutative Geometry](https://invisiblenetwork.ai/learn/cern/3007564): Jean ILIOPOULOS · CERN - [Practical Statistics for LHC Physicists: Bayesian Inference (3/3)](https://invisiblenetwork.ai/learn/cern/3004613): Harrison Prosper · CERN - [Practical Statistics for LHC Physicists: Frequentist Inference (2/3)](https://invisiblenetwork.ai/learn/cern/3001127): Harrison Prosper · CERN - [Practical Statistics for LHC Physicists: Descriptive Statistics, Probability and Likelihood (1/3)](https://invisiblenetwork.ai/learn/cern/3004312): Harrison Prosper · CERN - [Vector Boson Scattering (VBS) Analysis in ZZ + 2 jets Production with TMVA](https://invisiblenetwork.ai/learn/cern/3005423): Zunran Guo · CERN - [Practical Statistics for Particle Physics Analyses: Search for New Physics (4/4)](https://invisiblenetwork.ai/learn/cern/3007009): Lorenzo Moneta and Louis Lyons · CERN - [Practical Statistics for Particle Physics Analyses: Bayes and Frequentism (3/4)](https://invisiblenetwork.ai/learn/cern/3006645): Louis Lyons and Lorenzo Moneta · CERN - [Practical Statistics for Particle Physics Analyses: Chi-Squared and Goodness of Fit (2/4)](https://invisiblenetwork.ai/learn/cern/3003786): Louis Lyons and Lorenzo Moneta · CERN - [Practical Statistics for Particle Physics Analyses: Likelihoods (1/4)](https://invisiblenetwork.ai/learn/cern/3003679): Lorenzo Moneta and Louis Lyons · CERN - [Block storage subsystem performance analysis](https://invisiblenetwork.ai/learn/cern/3012927): Julien Leduc · CERN - [Software Defined Networking Topology Service](https://invisiblenetwork.ai/learn/cern/3015190): Ivan Nikolic · CERN - [Adatelemzés és számítástechnika / Data Analysis and Computing](https://invisiblenetwork.ai/learn/cern/3007810): Attila Krasznahorkay · CERN - [Analysis and formal verification of Finite State Machine from WinCC OA](https://invisiblenetwork.ai/learn/cern/3007053): Francesca Cecilia Schiavi · CERN - [Z->2lgamma analysis validation](https://invisiblenetwork.ai/learn/cern/3006433): Eldar Ganiev · CERN - [Performance Analysis of Multi-Turn Extraction from the PS to the SPS](https://invisiblenetwork.ai/learn/cern/3005733): Samuel Abernethy · CERN - [Introduction to Statistics (4/4)](https://invisiblenetwork.ai/learn/cern/3002589): Andreas Hoecker · CERN - [Introduction to Statistics (3/4)](https://invisiblenetwork.ai/learn/cern/3017529): Andreas Hoecker · CERN - [Introduction to Statistics (2/4)](https://invisiblenetwork.ai/learn/cern/3002321): Andreas Hoecker · CERN - [Introduction to Statistics (1/4)](https://invisiblenetwork.ai/learn/cern/3002111): Andreas Hoecker · CERN - [Python and ROOT: Effective and Interactive Analysis of Big Data](https://invisiblenetwork.ai/learn/cern/3007412): Danilo Piparo · CERN - [ATLAS High Mass Resonance Analysis](https://invisiblenetwork.ai/learn/cern/3008336): Benjamin Jerry SHEFF · CERN - [A Multi-Science Data Analysis Platform and the GeneROOT Use Case](https://invisiblenetwork.ai/learn/cern/3001436): Taghi Aliyev and Fons Rademakers · CERN - [Adatelemzés és számítástechnika / Data Analysis and Computing](https://invisiblenetwork.ai/learn/cern/3010078): Attila Krasznahorkay · CERN - [SG5 // Data analysis in particle physics](https://invisiblenetwork.ai/learn/cern/3009853): Risa Haridza and others · CERN - [Analysis and machine learning on logs of the monitoring infrastructure](https://invisiblenetwork.ai/learn/cern/3009744): Mert Ozer · CERN - [Statistics visualization for the CERN Document Server (CDS)](https://invisiblenetwork.ai/learn/cern/3008747): Ioannis Androulidakis · CERN - [Cloud Log Data Analysis](https://invisiblenetwork.ai/learn/cern/3009717): Shweta Oak · CERN - [Analysis of Baryon Angular Correlations with Pythia](https://invisiblenetwork.ai/learn/cern/3011731): Amara Mccune · CERN - [Using FOAMs to approximate probability densities for ttbar processes](https://invisiblenetwork.ai/learn/cern/3000975): Graham Van Goffrier · CERN - [Introduction to Statistics (5/5)](https://invisiblenetwork.ai/learn/cern/3014428): Andreas Hoecker · CERN - [Introduction to Statistics (4/5)](https://invisiblenetwork.ai/learn/cern/3008489): Andreas Hoecker · CERN - [Introduction to Statistics (3/5)](https://invisiblenetwork.ai/learn/cern/3008415): Andreas Hoecker · CERN - [Introduction to Statistics (2/5)](https://invisiblenetwork.ai/learn/cern/3007678): Andreas Hoecker · CERN - [Introduction to Statistics (1/5)](https://invisiblenetwork.ai/learn/cern/3007674): Andreas Hoecker · CERN - [d=4 N=2 Field Theory And Physical Mathematics](https://invisiblenetwork.ai/learn/cern/3007184): Gregory W. Moore · CERN - [String amplitudes: from field theories to number theory](https://invisiblenetwork.ai/learn/cern/3006651): Oliver Schlotterer · CERN - [F-Theory - From Geometry to Physics and Back](https://invisiblenetwork.ai/learn/cern/3004690): Timo Weigand · CERN - [Angular analysis](https://invisiblenetwork.ai/learn/cern/3001944): Konstantinos Petridis · CERN - [Combined Analysis of R(D), R(D*)](https://invisiblenetwork.ai/learn/cern/3001860): Dean Robinson · CERN - [New physics EFT analysis](https://invisiblenetwork.ai/learn/cern/3001857): Diptimoy Ghosh · CERN - [Invenio @ CERN IT (CDS, B2SHARE, Zenodo, OpenData, Analysis Preservation, OAIS Archival Store)](https://invisiblenetwork.ai/learn/cern/3015828): Jose Benito Gonzalez Lopez · CERN - [Exploring science with sound: sonification and the use of sonograms as data analysis tool](https://invisiblenetwork.ai/learn/cern/3008380): Domenico Vicinanza and Genevieve Williams · CERN - [On-Demand Workflows for Physics Analysis](https://invisiblenetwork.ai/learn/cern/3005489): Diyaselis Delgado Lopez · CERN - [Interactive analysis for the TOTEM experiment](https://invisiblenetwork.ai/learn/cern/3000329): Jakub Moscicki · CERN - [DODAS Dynamic On Demand Analysis Services (INFN)](https://invisiblenetwork.ai/learn/cern/3012415): Giuseppe La Rocca · CERN - [Machine Learning III](https://invisiblenetwork.ai/learn/cern/3009360): Sergei Gleyzer · CERN - [Introduction to Statistics](https://invisiblenetwork.ai/learn/cern/3012006): Glen Cowan · CERN - [A CAPELLA SCIENCE event](https://invisiblenetwork.ai/learn/cern/3006748): Tim Blais · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=maths&page=22)