Join us and learn some praticial machine learning skills on Saturday and Sunday during our Workshop weekend. Participate in hands-on experiences as training sessions, coding classes, tutorials, experiments or hackathons!
TensorFlow Basics 2019 – Saturday
With Bartek Wołowiec, Megan Ruthven, Ruslan Habalov & Andreas Steiner
09:00-16:30 January 26TensorFlow Basics 2019 – Sunday
With Bartek Wołowiec, Megan Ruthven, Ruslan Habalov & Andreas Steiner
09:00-16:30 January 274ABCBlue Brain Nexus, a knowledge graph for data driven projects
With Mohameth François Sy, Samuel Kerrien & Huanxiang Lu
09:00-16:30 January 272BCAdvances in ML: Theory meets practice II
With Aymeric Dieuleveut & Sebastian Stich
13:30-16:30 January 271BCArtificial Curiosity: Intrinsic Motivation in Machines too!
With Gaétan Ramet, Thibault Calvayrac & Axel Uran
13:30-16:30 January 27Foyer Garden 2Building an on-device voice assistant with Snips
With Laurent Chervet & Eric Bezzam
13:30-16:30 January 272APolicy-Making and Data Economy at the city level: utopia or reality?
With Stefania Delprete & Christian Racca
13:30-16:30 January 271AExplainable AI: How to demystify machine learning models
With Christian Blakely & Tiba Razmi
09:00-12:00 January 272AMachine Learning Competition: Tennis Analysis
With Maxime Gabella
09:00-16:30 January 27Foyer Garden 1Machine Learning for fake news detection: theory and practice
With Maëlle Baud, Miles Timpe & Maria Han Veiga
09:00-16:30 January 273BCDeep Learning optimization and deployment with TensorRT in TensorFlow and Python
With Nicola Rieke & Cristiana Dinea
13:30-16:30 January 262BCUsing PySpark and interactive Jupyter notebook on Amazon Clusters
With Hamed Razavi
13:30-16:30 January 263BCEngineering for good – detecting pneumonia in X-Ray images
With Michal Rachtan, Marek Pasieka & Julien Herzen
13:30-16:30 January 265AReatching into the Rabbit Hole: Should we replace teachers with AI?
With Servan Grüninger, Valeria Eckhardt & Heinz Bachmann
13:30-16:30 January 261ATutorial: Build your first predictive model to forecast and detect anomalies
With Sébastien Léger
09:00-12:00 January 265APySpark: Big Data Processing and Machine Learning with Python
With Hamed Razavi
09:00-12:00 January 265BCML in your organization: a practical toolbox to identify and seize highest value opportunities in Machine Learning
With Timon Zimmermann, Hakim Invernizzi & Matteo Togninalli
09:00-12:00 January 261AData Augmentation and Segmentation with Generative Networks for Medical Imaging
With Nicola Rieke & Cristiana Dinea
09:00-12:00 January 262BCHands-on deep learning with TensorFlow.js
With Harry Anderson & Frederic Ouwehand
09:00-12:00 January 263BCData exploration and preparation for Machine Learning
With Tereza Iofciu, Alisa Dammer, Honza Bílek & Philipp Kähler
09:00-16:30 January 261BCLearning and Processing over Networks
With Rodrigo Pena & Michaël Defferrard
09:00-16:30 January 26Foyer Garden 1Applied Machine Learning for Anomaly Detection on Equipment
With Alexandra Gunderson, Trung Doan & Lukasz Mentel
09:00-16:30 January 26Foyer Garden 2