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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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2020
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2017
Speakers
Keynotes
Dr Joanna Bryson
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Prof. Dagmar Monett Diaz, Berlin School of Economics and Law
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Conference Speakers
Kate Kilgour, University of Dundee
Tackle Math for Machine Learning (The Easy Way)
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Alastair Firrell, Bank of England
What’s in a word? Extracting meaning from text with word2vec
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Ingo Elsen, T-Systems/FH Aachen University of Applied Sciences
Broad Learning not Deep Learning: Application of AI for the Prediction of Train Arrivals
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John Buyers, Osborne Clarke
The privacy concerns around AI
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Rupert Thomas, TTP Plc
Electric Nation: deep learning for the smart grid
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Ross Newman, Abaco Systems
Deploying Embedded AI-enabled Computer Vision Systems on Military Ground Vehicles
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Tony Anscombe, ESET
AI and math can’t trump smart attackers
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Dr. Janet Bastiman, StoryStream
Making AI Efficient
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Oliver Zeigermann, Embarc/Floreysoft
tensorflow.js – Why the Browser and Machine Learning are a perfect match
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Rich Fenton, Technical Lead – Unstructured Data Platforms, Pure Storage
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David Fuhr, HiSolutions AG
Race Against The Machine – Will ML Help Or Kill Security?
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Stan Seibert, Anaconda
Accelerating Deep Learning with GPUs
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Isabel Sargent, Ordnance Survey
Deep ambitions for the future of landscape mapping
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Dr Kate Devlin, Goldsmiths, University of London
Alexa, why do bots have a gender?
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Sören Klemm, University of Muenster
From training to coaching Neural Networks
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Chris Mitchell, Audio Analytic
Helping machines understand our world, our way
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Chris Knight CKX Group
AI Demystified
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Kemal Delic, DXC Technology
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Chris Swart, Resolver
Clustering and classification: when to use which technique?
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Stephanie Fischer, datanizing
From chaos to structure: How to derive insights from your user-generated content
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Graeme Malcolm, M Squared
Quantum and Machine Learning
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Adnan Tahirovic, Imperial College London
UNDERWATER DRONES CONTROL TOWER: ARCHITECTURE, DESIGN, ENGINEERING
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Christian Hidber, bSquare
Reinforcement Learning (RL): a gentle introduction with a real application
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Charis Doidge, Ordnance Survey
Deep ambitions for the future of landscape mapping
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Christos Hadjinikolis, Data Reply UK
Doing Data Science the Agile Way
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Emma Kendrew, Accenture
Is your AI real-world ready?
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Heiko Spindler
Let’s Talk About Sex: Breeding Programs With Simulated Evolution
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Lars Gregori, SAP CX
Machine Learning Models on Mobile Devices
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Ulrich Drepper, Red Hat
Implementing ML Solutions While Avoiding Traps
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Olivia Wilson, Ordnance Survey
Deep ambitions for the future of landscape mapping
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Dr. Tim Frey, iunera GmbH & Co. KG
Predicting Cryptocurrency exchange rates with stream processing, social data and online learning
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Terry McCann, Adatis
Deploy models faster with Data Science DevOps
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Stefan Kühn, XING Marketing Solutions GmbH
Manifold Learning and Dimensionality Reduction for Data Visualization and Feature Engineering
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David Tyler, Outlier Technology Limited
Introduction to TensorFlow
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Shirin Glander, Codecentric
Explaining complex machine learning models with LIME
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Darko Matovski, causaLens
Automating machine learning for time-series data
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Fabian Bormann, IAV
A gentle Keras starter
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Christian Winkler, datanizing
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Workshops
Oliver Zeigermann, Embarc/Floreysoft
tensorflow.js – Why the Browser and Machine Learning are a perfect match
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Kate Kilgour, University of Dundee
Tackle Math for Machine Learning (The Easy Way)
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Prof. Mark Whitehorn
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Kaya Kupferschmidt, dimajix
Machine Learning with PySpark
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Terry McCann, Adatis
Deploy models faster with Data Science DevOps
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