Posts tagged ‘data science hackathon’

Getting Creative with Big Data and Google Apps

Big data isn’t just for those who can wrangle Hadoop or wrestle with R. Service interfaces (APIs) make it easy for even the relative novice explorer some creative solutions. Working for an innovation centre I often find the need to quickly glue together service APIs to gain some insight from the data flowing around our sector. More often than not I turn to Google Sheets (Spreadsheets) and Google Apps Script to rapidly develop dashboards I can share with colleagues. It’s reassuring to see I’m not the only one who uses this approach. A recent post on the Google Apps Developer Blog highlighting how the UK Government’s Cabinet Office do Google Analytics reporting with Google Apps Script. A great thing about […] Continue Reading

#bdw13 Big Data Week Announce dates for April 2013

Big Data Week is pleased to announce new dates for the 2013 week long festival. We’ll be kicking off on the 22nd April 2013 and running until the 28th April with a mixture of meetups, network events, hackathons and other fun data stuff. This year Big Data Week has partnered with media140 Worldwide, the hugely successful digital and social media community platform, to produce and co-ordinate the weeklong series of activities and events. Big Data Week is one of the most unique global platforms of interconnected community events focusing on the social, political, technological and commercial impacts of Big Data. It brings together a global community of data scientists, data technologies, data visualisers and data businesses spanning six major commercial, […] Continue Reading

#bdw12 Data Science Hackathon Winner

              James Patterson is the official winner of the Data Science Hackathon organised by Data Science London in conjunction with Big Data Week. Having worked through 24 hours over 150 participants submitted their final entries and it James was declared the official winner. – I’m a research engineer at NICTA – I live in Canberra, ACT, Australia – I am 37 years old – I recently finished my PhD in machine learning at ANU (thesis submitted, waiting for reviews) – in the past I worked as a software engineer in the telecom industry for 10+ years   With contestants across three continents it was a hard fought battle, involving coffee, drinks and snacks below […] Continue Reading

Show Buttons
Hide Buttons