Data Science London
Data Science London is the largest Data Science community in Europe.
They are a community of data scientists, machine learning geeks and data hackers that meet regularly to discuss data science projects, methods, topics, tools & technologies. They promote free, open, dissemination of knowledge. They are totally independent and not affiliated to any brand, vendor or government organisation.
Over time they've grown to a diverse community of talents and minds.
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A Guide to the Market Promise of Automagic AI-Enabled Detection and Response
Featuring Jonathan Hawes
Lots of cybersecurity vendors are making claims about how their technologies use Artificial Intelligence (AI) to improve the world of sec ops and protect us from evil.
architecture discovery exploration leadership data elastacloud photobox-group ai security -
Getting setup and started with doing AI on the Nvidia Jetson Nano
Featuring Tim Vivian-Griffiths
NVIDIA Jetson Nano enables the development of millions of new small, low-cost, low-power AI systems. It opens new worlds of embedded IoT applications, including entry-level Network Video Recorders (NVRs), home robots, and intelligent gateways with full analytics capabilities. Join Tim...
architecture code discovery data ai -
You got served: How Deliveroo improved the ranking of restaurants
Featuring Jonny Brooks-Bartlett
In this talk Jonny Brooks will explain how Deliveroo is using Tensorflow to train and deploy our models. We’ll also discuss the challenges that they’ve faced in tackling the ranking problem and outline the solutions that they’ve implemented or proposed to overcome them.
data tensorflow ai datascience deliveroo -
Ethics in Artificial Intelligence
Featuring Ivana Bartoletti
In this meetup we will have a talk on the ethics of Artificial Intelligence from Ivana Bartoletti.
data social-responsibility datascience artificial-intelligence ethics -
Analysis of an Agile effort estimation dataset
Featuring Derek Jones
An analysis of over ten years of commercial development using Agile (10,100 unique task estimates made by 22 developers, under 20 project codes). Factors found to influence task implementation effort estimation accuracy included the person making the estimate, the project involved, and the...
agile data machine-learning open-data -
A deep dive into contextual word embeddings and understanding what NLP models learn
Featuring Fabio Petroni
Contextual word embeddings are hitting the NLP community like a storm. Such representations are mainly derived from pre-trained language models (bidirectional) and have recently been shown to provide significant improvements to the state of the art for a wide range of NLP tasks. In the talk I...
data machine-learning nlp data-science ai -
Optimise a Power Plant with Machine Learning: Data Science Lifecycle Case-Study
Featuring Andrew Booth
In this meetup we have a talk that will focus on how Elastacloud have worked alongside Drax to develop a data science solution to BSUoS forecasting
drax elastacloud ml machine-learning datascience data
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