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Conferences / MLCon (ML Conference)

ML Conference 2019 Munich (Spring Edition)

Jun 17–19, 2019 · Sheraton Munich Arabellapark Hotel, Munich, Bavaria, Germany

Conference
MLCon (ML Conference) Data science & ML
Dates
Jun 17, 2019 – Jun 19, 2019
Venue
Sheraton Munich Arabellapark Hotel
Place
Munich, Bavaria, Germany
Format
In person
Status
Past
Attendance
—
Website
mlconference.ai
Recorded
23 sponsors · 43 speaker appearances
Notes
Spring edition (labelled 'mlcon 2019 SE' in the organizer's archive). Workshop day June 17, conference and expo June 18-19. Prices are regular list prices excluding VAT ('instead of' prices; the page showed 10% team-discount prices). Speakers: full program from the organizer's archive page.

Ticket prices

TicketPriceValid untilNotesSource
Conference Day€649—plus VATweb.archive.org
Workshop Day€649—plus VATweb.archive.org
2-Day Ticket€999—plus VATweb.archive.org
3-Day Ticket€1,199—plus VAT; from EUR 1,079 with 10% team discountweb.archive.org

Sponsors 23

Silver 3

Bronze 10

Media 8

Other 2

Speakers and talks 43

SpeakerCompanyRoleTalkLinks
Andreas HuhmannHARTING Stiftung & Co. KGSpeakerLebenslanges Lernen einer Maschine IoT Architekturen und Infrastruktur einer Smart Factory—
Chi Nhan NguyenitemisSpeakerDeep probablistic Modelling with Pyro—
Christoph HenkelmannDIVISIO GmbHSpeakerTensorFlow Training on the JVM—
Christoph HenkelmannDIVISIO GmbHSpeakerPanel: Ask the ML Experts—
Christoph HenkelmannDIVISIO GmbHSpeakerUnsupervised Learning with Autoencoders—
Christoph Windheuser—SpeakerHow to implement Chatbots in an industrial Context—
Daniel MolnarShopifySpeakerThe Data Janitor returns—
Dominique Rondéfreeyou AGSpeakerPrevention of Claims with iot and ai.—
Dr. Christian HidberbSquareSpeakerReinforcement Learning: a gentle Introduction and industrial Application—
Dr. Christian HidberbSquareSpeakerPanel: Ask the ML Experts—
Dr. Hanna KujawskaUniversity of BergenSpeakerLearning Rank Aggregation Methods—
Dr. Hanna KujawskaUniversity of BergenSpeakerPanel: Ask the ML Experts—
Dr. Pieter ButeneersChatlayer.aiSpeakerPanel: Ask the ML Experts—
Dr. Pieter ButeneersChatlayer.aiSpeakerChatbots Suck—
Dr. Pieter ButeneersChatlayer.aiSpeakerMachine Learning 101++ using Python—
Eric ReissFatDUX GroupSpeakerThe Ethics of AI – dealing with difficult choices in a non-binary world—
Fabian HertwigMaibornWolff GmbHSpeakerPredicting New York City Taxi demand: spatio-temporal Time Series Forecasting—
Frederic StallaertML6SpeakerAn Introduction to Deep Learning with Keras - train your own Image Classifier with Deep Neural Networks [SOLD OUT]—
Hauke BrammerNovatecSpeakerDeep Learning mit Small Data—
Jakub CzakonNeptune.mlSpeakerHow to track progress and collaborate in data science and machine learning projects?—
Jean MetzJArchitectsSpeakerHoney Bee Conservation using Deep Learning—
Jesus RodriguezInvector LabsSpeakerSome Things I wish I had known about scaling Machine Learning Solutions—
Kai Atenhanfreeyou AGSpeakerPrevention of Claims with iot and ai.—
Kamil KaczmarekNeptune.mlSpeakerHow to track progress and collaborate in data science and machine learning projects?—
Mey BeisaronAppsFlyerSpeakerEvolution 3.0: Solve your everyday Problems with genetic Algorithms—
Michael KiewegLEVERTON GmbHSpeakerThe more data, the better the AI, isn’t it?—
Noa BarbiroBooking.comSpeakerUp-close and personal: Hyper-Personalization using Deep Learning—
Oleksandr HoncharMawi Solutions / self-employedSpeakerDeep Learning advances for Signal Processing—
Oliver ZeigermannembarcSpeakerHow do Chess Engines work? Looking at Stockfish and AlphaZero—
Paul DubsPaul Dubs IT ConsultingSpeakerMachine Learning Models: solving Issues in Production and beyond—
Peter Müller-BrühlGreenCom Networks AGSpeakerPower to the People: Free Energy in the Internet Age—
Peter Seebergasimovero.AISpeakerEmbedded ML for continued Product Leadership in global Machine and Plant Construction—
Piero FerrareseSciScry GmbHSpeakerSupercharging your forecasting algorithms with alternative data—
Prof. Adam Blum—Speaker"AutoAutoML" - Towards a Standardized Automated Machine Learning Pipeline API—
Sebastian MeyenSoftware & Support Media GmbHSpeakerPanel: Ask the ML Experts—
Sergey MaximenkoMobiDevSpeakerHype or Reality: Face Anti-Spoofing Solution powered by Deep Learning—
Simon WeißAlexander Thamm GmbHSpeakerProductionizing Machine Learning Models: Lessons learned in the Hadoop Ecosystem—
Steffen BunzelAlexander Thamm GmbHSpeakerProductionizing Machine Learning Models: Lessons learned in the Hadoop Ecosystem—
Timon Rubanluminovo.aiSpeakerAutomated Hyperparameter Tuning—
Vadim Markovtsevsource{d}SpeakerMining Software Development History: Approaches and Challenges—
Vladimir RybakovWaveAccessSpeakerDoes Deep Learning make Feature Engineering obsolete?—
Ward Van LaerIxorSpeakerCan UX demystify AI?—
Xander SteenbruggeML6SpeakerAn Introduction to Deep Learning with Keras - train your own Image Classifier with Deep Neural Networks [SOLD OUT]—

Sources