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Webcast
Episode 1: Benford’s Distribution
Episode 2: Continuous Delivery for Machine Learning
Episode 3: Building Trust and Confidence in AI
Episode 4: Deploying Models in a Serverless Environment
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Past Events
2020
2019
2018
2017
List of speakers
Keynotes
Prof. Mark Bishop, Goldsmiths, University of London
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Melanie Warrick, Google
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Conference Speakers
Marcin Druzkowski, Ocado Technology
Machine learning is hard, deploying to real business is harder.
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Yasmeen Ahmad, Teradata
Humanizing the Machine – creating meaningful experiences.
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Prof. Mark Whitehorn
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Andrew Joint, Kemp Little LLP
Getting Your Business Ready for AI: The Law around Artificial Intelligence
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Michael Feindt, Blue Yonder
Real World Applications of Machine Learning and Artificial Intelligence – A Look at Retail Businesses
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Catherine Flick, DMU
Responsible innovation practices
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Stan Boland, FiveAI
Autonomous vehicles and super-perception: what happens next?
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Simon Ball, Hortonworks
Getting AI over the edge
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Olivia Klose, Microsoft
My Robot can Learn – Using Reinforcement Learning to Teach my Robot
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Allister Mannion, NoWatt Ltd
ML in Predictive Maintenance
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Oliver Zeigermann
Workshop – Introduction to Neural Networks using TensorFlow and Keras
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Barbara Fusinska, Microsoft
TensorFlow in Three Sentences
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Claus Jepsen, Unit4
System Architecture Facilitating the Creation of Intelligent Augmentation of Applications using Machine Learning
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Steve Purves, Expero
Graph Representations in Machine Learning
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Jeffrey Kelling, Helmholtz-Zentrum Dresden-Rossendorf
Classification at 10Hz: Protecting High-Power Lasers with Deep Learning
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Dave Elliman, ThoughtWorks
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Gwyneth Parry, Baringa Partners
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Stephen Seiler, Control€xpert
Practical Machine Learning from Lab to Production
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Marcel Tilly, Microsoft
My Robot can Learn – Using Reinforcement Learning to Teach my Robot
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Will Williams, R&D engineer, Speechmatics
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Rob Kent, Platinum Informatics
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Sara Bertram, IAV
A comparison of the best known open source ML frameworks
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Boris Adryan
Computational decision making in a nutshell
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Dr.-Ing. Florian Baumann, ADASENS Automotive
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Egor Bulychev, source{d}
Fighting with high-dimensional not-so-small data
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Luke Jennings, MWR InfoSecurity
The good, bad and ugly of using machine learning for attack detection and response.
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Christian Hidber, bSquare AG
Big Data – Small World: Lessons Learned
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Carlo Luschi, Graphcore
Essential Machine Learning algorithms explained
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Vadim Markovtsev, source{d}
Fighting with high-dimensional not-so-small data
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Fabian Bormann, IAV
Microsoft CNTK: An introduction with an example implementation of semantic segmentation
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Benjamin Chamberlain, Imperial College London
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Jan Hendrik Witte, GreyMaths
Deep Learning: Artificial Intelligence (AI) in Finance
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Ralf Waldvogel, Colenet GmbH
Challenges in introducing Deep Learning in a big organization
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Jamie Bartlett
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Cosmin Stamate, Birkbeck, University of London
Neural networks for beginners
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Workshops
Oliver Zeigermann
Workshop – Introduction to Neural Networks using TensorFlow and Keras
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Steve Purves, Expero
Graph Representations in Machine Learning
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Barbara Fusinska, Microsoft
TensorFlow in Three Sentences
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Laurent Gatto, University of Cambridge
Workshop – An Introduction to Machine Learning with R
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