Data Science, AI and Deep Learning. 16 November 2017, London

Background

The emergence of Data Science is considered to be a great advance in the domain of modelling. The abundance and the explosive growth of recorded data in recent years has added a new dimension to the established paradigms of theoretical, empirical and computational modelling; these are now augmented by data driven modelling. Data Science encompasses the established domains of data warehousing, data mining, cluster analysis, pattern classification, machine learning and data visualisation. The application of Machine Learning in general and Deep Learning in particular, to very large data sets, has led to ground-breaking progress in recognising patterns of sounds, images, & data.

The human brain finds it difficult to make sense out of very large volumes (peta bytes) of unstructured data. Yet Deep Learning can discover hidden ‘connections and patterns’. Humans are not able to model these ‘connections and patterns’ because their cognition power limits them in making sense of these very large data sets and their inherent complexities.

This event brings together experts from industry and academe to explore and discuss the major advances and applications of these technologies.
Come along and open up to the new era of AI, Machine Learning and Deep Learning and find out how this can help you and your organisation in an increasingly ‘data-driven world’.

Speakers

In addition to the conference, there are three pre- and post-conference workshops:

1. Introduction to Deep Learning and Tools for Deep Learning:

   TensorFlow
   MATLAB
   Theano

2. AI in Robotics and IOT

3. AI in Multimedia – capturing sound, data and image

Venue

  • HILTON LONDON KENSINGTON
    179-199 HOLLAND PARK AVENUE, LONDON, W11 4UL, UNITED KINGDOM
  • +44 (0)1895 256 484
  • info@unicom.co.uk

LINK TO REGISTER: http://conferences.unicom.co.uk/data-science-london/#call-fr-partcpt

Contact Us

  • UNICOM R&D House | One Oxford Road | Uxbridge | UB9 4DA
  • +44 (0) 1895 256 484
  • info@unicom.co.uk

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