PowerAI London is a group for Data Scientists, Developers and Business people who are interested in Machine Learning, using Open Source tools on IBM's technology. Whether you're just getting started, or if you're looking to build models on enterprise scale datasets at serious scale, this is the group for you. Join in and collaborate with other like-minded people working with Machine Learning or Deep Learning.
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Human-in-the-loop analytics and machine learning
Featuring Leigh Chase
In this talk we will discuss the role of human-in-the-loop analytics that incorporate machine learning or reasoning capabilities. Our emphasis is on how machine learning can enhance and engage the experience of analysts working in domains such as cyber security and support complex decision-making...bigdata datascience artificialintelligence reasoningcapabilities machinelearning
Featuring Joe Chow
H2O Driverless AI is an artificial intelligence (AI) platform that automates some of the most difficult data science and machine learning workflows such as feature engineering, model validation, model tuning, model selection and model deployment. It aims to achieve highest predictive accuracy,...
DSX (Data Science Experience) Demo
Featuring Mark Woolnough
Data Science Experience is an IBM tool set that allows Data Scientists to create and share their Jupyter notebooks in a more collaborative and manageable way. With support for common data science environments including Python, Scala and R, as well as the majority of Machine Learning and Deep...
What is AI and How will it speed up my ML workload?
Featuring Chris Parsons
We'll explore the features of the PowerAI platform that make it ideally suited for your Machine Learning / Deep Learning workloads and discuss the unique technology that makes (near) linear scaling to 256 GPUs possible.bigdata ibm ai
Deep Learning Demystified (from NVIDIA)
Featuring Adam Grzywaczewski
The last five years has seen an unprecedented progress in Artificial Intelligence research. Neural Networks, which were perceived as a failed experiment of Machine Learning research, not only are successfully solving a wide range of everyday problems but in many cases significantly exceed human...
Putting AI into Practice (from Filament)
Featuring Andy Feltham
Theory of AI will only get you so far. After a while, issues to do with accuracy and data collection will start to become a reality as you turn your Proof of Concept into a valuable asset. How can platforms such as PowerAI Vision shorten that time to value so that you can grow your business...
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