The IT world changed radically in 2013 and the IT we have been taught for 30 years is now obsolete. It continues to change in a way that shakes economies and companies to their foundations
Coming to a course that teaches the basic Machine Learning techniques of Supervised and Unsupervised Learning, and Recommendation Systems and Graph Processing will get you entry to the global club of Up to Date people.
Follow it up with the really exciting application of these techniques to Sentiment Analysis and Text Recommendation Engines, GPU Cluster Computing and Massive Simulations and Deep Learning and suddenly you are very attractive to employers and your peers all over the world..
Demand for all these skills worldwide is enormous so you can choose what you would like to specialise in either as an Academic, as a Highly Paid Employee or Civil Servant or as an Entrepreneur or even all three.
In alphabetic order, these are areas of application of the technology you can specialise in
Agent Based Modelling
Simulation of the behaviour of population systems.
Automotive and Robotic
Vision systems for Robotic Vehicles and Vision Equipped Robotic Systems
Basic Mathematical Computing
A library of Linear and Tensor Algebra routines
A set of routines for analysing large volumes of data for anomalies
Training and Deployment of neural networks for pattern recognition
Time Series Analysis and other predictive and modelling techniques.
Time series analysis and other mass processing systems
Modelling and analysis of DNA, Genes, Genotypes and Phenotypes
- Human and Medical
Precision medicine and mass population screening.
Analysis of plant genomes and their modification for better yield.
Analysis of animal genomes and their modification
Analysis of seismic movements and shocks
High Performance Computing
Do you know enough to join the Exascale Project or the EU Exascale Technologies programme?
Image and Video Processing
Deep learning allows learning of classification of images and frames from videos.
All the standard functions can be supported if standard frameworks like Spark and Flink are supported
Medical Image Recognition
A specialised variant of Image recognition linked to medical diagnosis
Smart City and IOT applications
Traffic people and economic flow modelling and monitoring
Text Analysis, Classification Translation and Summarisation.
Innovation Incubation and Start-ups
All the application areas described above are shortage areas worldwide so start-ups who have the skills will be highly marketable.
If there is the demand we will bring in someone from the Digital Catapult in UK who has sold four companies so far
English Language Teaching
We will investigate with British Council how we can get you some Technical English Boot camp and use the automatic translation facilities of Deep Learning to help
We will look into how we can set up a loan scheme to help you pay for training that you can repay from your salary once you get a new job
Talk Title: Deep Learning – Impact on Modern Life
Abstract: Alison will explain in detail how graphical processing units (GPUs) enable various deep learning techniques. She will include use cases across a wide area of industry plus the latest news on NVIDIAs toolkits and software, including DIGITS, their open-source Deep Learning platform.Check here