# From CERN 19,166 courses and talks. - [Machine learning, computer vision, and probabilistic models in jet physics](https://invisiblenetwork.ai/learn/cern/3017288): Michael Aaron KAGAN and Ben NACHMAN · CERN - [TMVA R/Scikit-learn interface](https://invisiblenetwork.ai/learn/cern/3002464): Sergei Dr. GLEYZER · CERN - [High-dimensional model estimation and model selection](https://invisiblenetwork.ai/learn/cern/3012818): Christian MUELLER · CERN - [The Cosmological Constant Problem (1/2)](https://invisiblenetwork.ai/learn/cern/3017678): Antonio Padilla · CERN - [Reusing ML tools and approaches for HEP data analysis](https://invisiblenetwork.ai/learn/cern/3002306): Andrey USTYUZHANIN · CERN - [The Retina Algorithm](https://invisiblenetwork.ai/learn/cern/3017668): Luciano Frances RISTORI and Giovanni PUNZI · CERN - [Data science in LHCb](https://invisiblenetwork.ai/learn/cern/3002302): Tim HEAD · CERN - [Real Time Processing](https://invisiblenetwork.ai/learn/cern/3002312): Vladimir GLIGOROV, Dustin James ANDERSON and Caterina DOGLIONI · CERN - [Response](https://invisiblenetwork.ai/learn/cern/3002303): Gilles Dr. LOUPPE · CERN - [An introduction to machine learning with Scikit-Learn](https://invisiblenetwork.ai/learn/cern/3002466): Gilles Dr. LOUPPE · CERN - [A ground-up construction of deep learning](https://invisiblenetwork.ai/learn/cern/3005746): Luke Percival DE OLIVEIRA · CERN - [Data science in ALICE](https://invisiblenetwork.ai/learn/cern/3014341): Michele FLORIS · CERN - [Response](https://invisiblenetwork.ai/learn/cern/3017717): Chirstian MUELLER · CERN - [Response](https://invisiblenetwork.ai/learn/cern/3002313): Jean-Roch VLIMANT · CERN - [Scalable Gaussian Processes and the search for exoplanets](https://invisiblenetwork.ai/learn/cern/3017671): Daniel FOREMANMACKEY · CERN - [Relaxing the weak scale: A new approach to the hierarchy problem](https://invisiblenetwork.ai/learn/cern/3017670): Alex Pomarol · CERN - [Deep Learning and its Applications in the Natural Sciences](https://invisiblenetwork.ai/learn/cern/3017718): Pierre BALDI · CERN - [Response](https://invisiblenetwork.ai/learn/cern/3005595): Balázs KÉGL · CERN - [Deep Learning Tutorial](https://invisiblenetwork.ai/learn/cern/3017676): Peter SADOWSKI · CERN - [Conference on Science, Technology, Innovation & Social Resoponsibility](https://invisiblenetwork.ai/learn/cern/3023123): Michael Møller, Heitor Gurgulino de Souza and Various · CERN - [Response](https://invisiblenetwork.ai/learn/cern/3008841): Josh BENDAVID · CERN - [Approximate Likelihood](https://invisiblenetwork.ai/learn/cern/3008853): Kyle Stuart CRANMER · CERN - [Steady states in conformal theories](https://invisiblenetwork.ai/learn/cern/3001079): Amos Yarom · CERN - [Observation of enhanced production of strange and multi-strange hadrons in high-multiplicity pp and p-Pb collisions with the ALICE detector.](https://invisiblenetwork.ai/learn/cern/3011204): Lee Barnby · CERN - [ABC Method](https://invisiblenetwork.ai/learn/cern/3008831): Richard WILKINSON · CERN - [ME technique plus experience ttH](https://invisiblenetwork.ai/learn/cern/3001137): Lorenzo BIANCHINI · CERN - [Stochastic optimization: beyond mathematical programming](https://invisiblenetwork.ai/learn/cern/3002539): Marc SCHOENAUER · CERN - [Software R&D for Next Generation of HEP Experiments, Inspired by Theano](https://invisiblenetwork.ai/learn/cern/3009927): Amir FARBIN · CERN - [MemTk (Matrix Element Toolkit) Tutorial](https://invisiblenetwork.ai/learn/cern/3018251): Soren STAMM, Oliver Maria KIND and Patrick RIECK · CERN - [Response](https://invisiblenetwork.ai/learn/cern/3001406): André DAVID · CERN - [TMVA tutorial](https://invisiblenetwork.ai/learn/cern/3001135): Sergei Dr. GLEYZER and Helge VOSS · CERN - [Preparing for the future: opportunities for ML in ATLAS & CMS](https://invisiblenetwork.ai/learn/cern/3008567): Tobias GOLLING · CERN - [Data and Science in HEP](https://invisiblenetwork.ai/learn/cern/3001088): Vincenzo INNOCENTE · CERN - [Feature Extraction](https://invisiblenetwork.ai/learn/cern/3001123): Sergei Dr. GLEYZER · CERN - [ML at ATLAS&CMS : setting the stage](https://invisiblenetwork.ai/learn/cern/3008565): Mauro DONEGA · CERN - [Data Science in industry](https://invisiblenetwork.ai/learn/cern/3017664): Ellie DOBSON · CERN - [Overview of the challenges of Material Development for Aerospace Applications, Airbus SAFRAN Launchers](https://invisiblenetwork.ai/learn/cern/3000199): Alain LACOMBE · CERN - [Heat Management at the PCB - Beyond Copper: Hybridization and Phase Change Cooling, AT&S](https://invisiblenetwork.ai/learn/cern/3000382): Jonathan SILVANO DE SOUSA · CERN - [Beyond the standard model](https://invisiblenetwork.ai/learn/cern/3000525): Dmitry GORBUNOV · CERN - [Investigation of Materials for Fusion Application in the High Heat Flux Test Facility GLADIS, Max Planck Institute for Plasma Physics](https://invisiblenetwork.ai/learn/cern/3000205): Henri GREUNER · CERN - [Introduction to EuCARD2 - Thermal Management Materials, CERN](https://invisiblenetwork.ai/learn/cern/3000366): Adriana ROSSI · CERN - [Novel thermal management technologies for aerospace and electronics applications, Tecnalia](https://invisiblenetwork.ai/learn/cern/3000204): Richard SEDDON · CERN - [Simulation of Thermal Management in Materials and Systems](https://invisiblenetwork.ai/learn/cern/3000206): Andrew MOFFAT · CERN - [Welcome and Opening - Industry meets EuCARD2, CERN](https://invisiblenetwork.ai/learn/cern/3000352): Tim TSARFATI · CERN - [Innovative Metal and Ceramic Matrix Composites, CERN](https://invisiblenetwork.ai/learn/cern/3000367): Alessandro BERTARELLI · CERN - [High heat flux components for a DEMO fusion reactor: material and technology development, EUROfusion](https://invisiblenetwork.ai/learn/cern/3000385): Matti COLEMAN · CERN - [Educational programs of CNIR](https://invisiblenetwork.ai/learn/cern/3000384): Mikhail KOROTKOV · CERN - [Developments and Novelties in Thermal Management, RHP-Technology](https://invisiblenetwork.ai/learn/cern/3017481): Michael KITZMANTEL · CERN [Next page](https://invisiblenetwork.ai/learn/browse?source=cern&page=129)