# Computer science 3,407 courses and talks. - [Overview and Status of the Ceph File System](https://invisiblenetwork.ai/learn/cern/3004710): Patrick Donnelly · CERN - [Less is more: regularization perspectives on large scale machine learning](https://invisiblenetwork.ai/learn/cern/3004614): Lorenzo Rosasco · CERN - [Ransomware: Trick or treat](https://invisiblenetwork.ai/learn/cern/3003257): Sergio Alves Domingues · CERN - [Computing Challenges of the Square Kilometre Array](https://invisiblenetwork.ai/learn/cern/3001849): Nick Rees · CERN - [Lecture](https://invisiblenetwork.ai/learn/cern/3000821): Jeffrey Arnold · CERN - [Lecture and demonstrations](https://invisiblenetwork.ai/learn/cern/3001011): Jeffrey Arnold · CERN - [Lecture](https://invisiblenetwork.ai/learn/cern/3000787): Jeffrey Arnold · CERN - [Lecture and demonstrations](https://invisiblenetwork.ai/learn/cern/3000800): Jeffrey Arnold · CERN - [State of security in Elasticsearch](https://invisiblenetwork.ai/learn/cern/3000211): Simone Scarduzio · CERN - [Machine Learning](https://invisiblenetwork.ai/learn/cern/3001005): Michael Aaron Kagan · CERN - [Machine Learning](https://invisiblenetwork.ai/learn/cern/2302513): Michael Aaron Kagan · CERN - [Machine Learning for Data Certification at CMS](https://invisiblenetwork.ai/learn/cern/3019796): Humza Ali Khan · CERN - [Machine Learning examples on Invenio](https://invisiblenetwork.ai/learn/cern/3002706): Samuele Kaplun · CERN - [DevOops Redux](https://invisiblenetwork.ai/learn/cern/3017382): Chris Gates and Ken Johnson · CERN - [Using Boosted Decision Trees to look for displaced Jets in the ATLAS Calorimeter](https://invisiblenetwork.ai/learn/cern/3017308): Gordon Watts · CERN - [Tutorial 3: Keras and TMVA interfaces](https://invisiblenetwork.ai/learn/cern/3017310): Stefan Wunsch · CERN - [Identification of Hadronically Decaying W Bosons and Top Quarks Using High-Level Features as Input to Boosted Decision Trees and Deep Neural Networks in ATLAS at 13 TeV](https://invisiblenetwork.ai/learn/cern/3017647): Ece Akilli · CERN - [Object identification with deep learning using Intel DAAL on Knights Landing processor \[Vidyo\]](https://invisiblenetwork.ai/learn/cern/3017309): David Nonso Ojika · CERN - [Close-out](https://invisiblenetwork.ai/learn/cern/3018410): Steven Randolph Schramm · CERN - [Application of Generative Adversarial Networks (GANs) to jet images](https://invisiblenetwork.ai/learn/cern/3017307): Michela Paganini · CERN - [Top tagging with deep neural networks \[Vidyo\]](https://invisiblenetwork.ai/learn/cern/3017305): Jannicke Pearkes · CERN - [HEP.TrkX \[Vidyo\]](https://invisiblenetwork.ai/learn/cern/3017311): Dustin James Anderson · CERN - [Decorrelated Jet Substructure Tagging using Adversarial Neural Networks](https://invisiblenetwork.ai/learn/cern/3017306): Chase Owen Shimmin · CERN - [Deep-learning Top Taggers or The End of QCD?](https://invisiblenetwork.ai/learn/cern/3017247): Gregor Kasieczka · CERN - [Deep Convolutional Networks for Event Reconstruction and Particle Tagging on NOvA and DUNE](https://invisiblenetwork.ai/learn/cern/3025243): Fernanda Psihas · CERN - [Jet reconstruction and heavy jet tagging at LHCb](https://invisiblenetwork.ai/learn/cern/3017178): Lorenzo Sestini · CERN - [Identification of Jets Containing b-Hadrons with Recurrent Neural Networks at the ATLAS Experiment](https://invisiblenetwork.ai/learn/cern/3017179): Daniel Hay Guest · CERN - [Tutorial 1: TMVA](https://invisiblenetwork.ai/learn/cern/3008872): Sergei Gleyzer and Lorenzo Moneta · CERN - [Flavor Tagging with Deep Neural Networks at Belle II](https://invisiblenetwork.ai/learn/cern/3017180): Jochen Gemmler · CERN - [Inclusive tagging of B-flavour at LHCb \[Vidyo\]](https://invisiblenetwork.ai/learn/cern/3017187): Aleksei Rogozhnikov · CERN - [Tutorial 2: Scikit-learn](https://invisiblenetwork.ai/learn/cern/3017699): Gilles Louppe · CERN - [Quark/gluon jet discrimination: a reproducible analysis using R](https://invisiblenetwork.ai/learn/cern/3006446): Andrew Lowe · CERN - [Exploring neural networks to improve b-jet tagging with the ALICE detector](https://invisiblenetwork.ai/learn/cern/3017181): Rudiger Haake · CERN - [DeepFlavour in CMS](https://invisiblenetwork.ai/learn/cern/3003501): Markus Stoye · CERN - [Intel and ML](https://invisiblenetwork.ai/learn/cern/3017038): Hans Pabst · CERN - [Yandex and ML](https://invisiblenetwork.ai/learn/cern/3016932): Andrey Ustyuzhanin · CERN - [Introduction to the workshop](https://invisiblenetwork.ai/learn/cern/3018408): Steven Randolph Schramm and others · CERN - [Industry-HEP panel on Machine Learning](https://invisiblenetwork.ai/learn/cern/3022310): Andrey Ustyuzhanin and Hans Pabst · CERN - [Introduction to concurrent throughput-oriented programming with ReactiveX](https://invisiblenetwork.ai/learn/cern/3016219): Kirk Shoop · CERN - [Creating Effective Data Visualizations - Lecture 2](https://invisiblenetwork.ai/learn/cern/3018590): Eamonn James Maguire · CERN - [Applying natural evolution for solving computational problems - Lecture 2](https://invisiblenetwork.ai/learn/cern/3016227): Daniel Lanza Garcia · CERN - [Creating Effective Data Visualizations - Lecture 1](https://invisiblenetwork.ai/learn/cern/3016220): Eamonn James Maguire · CERN - [Distributed consensus and fault tolerance - Lecture 2](https://invisiblenetwork.ai/learn/cern/3016226): Georgios Bitzes · CERN - [Closing remarks](https://invisiblenetwork.ai/learn/cern/3016239): Sebastian Lopienski · CERN - [Let your machine do the learning - Lecture 2](https://invisiblenetwork.ai/learn/cern/3016146): Daniel Hugo Campora Perez · CERN - [Algorithms for Anomaly Detection - Lecture 2](https://invisiblenetwork.ai/learn/cern/3017734): Michael Davis · CERN - [Virtual Machine Images Management in Cloud Environments](https://invisiblenetwork.ai/learn/cern/3016086): Lorena Lobato Pardavila · CERN - [Applying natural evolution for solving computational problems - Lecture 1](https://invisiblenetwork.ai/learn/cern/3012700): Daniel Lanza Garcia · CERN [Next page](https://invisiblenetwork.ai/learn/browse?subject=computing&page=38)