Python Taster Course
A fun and interactive introduction to both the Python programming language and basic computing concepts using programmable robots.
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A fun and interactive introduction to both the Python programming language and basic computing concepts using programmable robots.
An introductory course to the Python 3 programming language, with a curriculum aligned to the Certified Associate in Python Programming (PCAP) examination syllabus (PCAP-31-02).
Automated parsing, and ontological & machine learning-powered semantic similarity modelling, of the Digital, Data and Technology (DDaT) profession capability framework website.
Visualise, explore and semantically query connected data entities and relationships using ontologies and the free OntoSpark web application.
Combining quantum computing with deep learning to reduce the time required to train a neural network, and by doing so introducing an entirely new framework for deep learning.
Exploring the unification of general purpose programming with inference through probabilistic modelling.
Build a machine learning pipeline using Apache Spark and Apache Kafka capable of performing sentiment analysis in real-time.
Build a custom Kafka producer in Java using the Twitter Hosebird client and Apache Avro.
Build a high-throughput, scalable, reliable and fault-tolerant data pipeline capabale of fetching event-based data and streaming those events to Apache Spark.
Modelling the transmission of COVID-19 and simulating the impact of non-pharmaceutical interventions (NPIs).
Building a library of cutting-edge artificial intelligence tools designed to identify and disrupt Dark Web-enabled cybercrime.
Building a common data model (CDM) to improve the governance and management of critical national data assets.
Introduction to machine learning, deep learning and distributed parallel computing with Apache Spark, written by our founder Jillur Quddus.
Technology provides us with the toolkit to change lives for the better - but if unchecked it also has the power to discriminate and reinforce stereotypes and bias.
Public Opportunities Bot (POB) is an open-source and easily extensible software project that fully-automates the collation, analysis and notification of procurement opportunities from public sector procurement frameworks in order to support business development.
What if we approached data problems as people problems too?
Build your own map server using Open Street Map data and PostGIS.