Hi everyone- Another month flies by… still cold, but I’ve definitely seen the sun once or twice… I hope the on-again off-again dreams of a proper summer holiday aren’t proving too painful … perhaps a few curated data science reading materials might ease the burden over the Easter weekend? Following is the April edition ofContinue reading “April Newsletter”
Event report by Giles Pavey, RSS Data Science Section Committee member Wednesday March 17th saw the RSS Data Science Section host its first ‘Ethics Happy Hour’. Events in this new series provide an opportunity to discuss and meet other people interested in questions of AI ethics and data science ethics more broadly. Taking place inContinue reading “The inaugural RSS Data Science Ethics Happy Hour”
Ethics Happy Hour on March 17th: “Ethical data science in the context of COVID-19 — What are the most important issues?” We are excited to host our first ‘Ethics Happy Hour’. Events in this new series provide an opportunity to discuss and meet other people interested in questions of AI ethics and data science ethicsContinue reading “Our First Ethics Happy Hour: March 17th, 5-6pm”
Hi everyone- Another month flies by… At least it’s getting a bit lighter in the mornings and I’ve even seen the sun once or twice. I hope you are staying as sane as possible despite home-schooling, home-working, home-everything else (delete as appropriate…) … perhaps a few curated data science reading materials might lighten the mood?Continue reading “March Newsletter”
Hi everyone- Well.. January seemed to fly by. 2021 has certainly started with a bang (Brexit!, Impeachment!, New President!, Vaccinations!) and the holidays seem an age ago. I hope you are surviving lockdown 3.0 as best as you can… maybe there is room in the long dark evenings for a few curated data science readingContinue reading “February Newsletter”
We are incredibly honoured and excited to be hosting Andrew Ng for a fireside chat on 10th February at 6.30pm (Sign up here) Many data scientists’ first encounter with Andrew Ng was through his Stanford University machine learning course – which has enrolled almost 4m people! However, some may be unaware that his contribution toContinue reading “Andrew Ng Fireside Chat – Sign Up Now!”
Hi everyone- Happy New Year! I hope you have all had a festive holiday period and found some time to catch up on those deep learning research papers you had been meaning to dig into… Fingers crossed 2021 proves better than 2020…. as a start, how about welcoming in the new year with a fewContinue reading “January Newsletter”
We are going to have the great honour of hosting a fireside chat with Andrew Ng in February. The Data Science Section of the Royal Statistical Society have invited Andrew to come and talk to us about how technical people can become leaders in artificial intelligence and data science. Andrew needs little introduction to theContinue reading “Andrew Ng at the RSS Data Science Section!”
Hi everyone- It’s hard to believe it’s December… in some respects the year has felt incredibly slow as we have watched the pandemic run its inexorable course; and then in other ways it feels like a blur of zoom calls and box sets that has gone by in a flash. Lets hope 2021 proves better…Continue reading “December Newsletter”
Hi everyone- It’s all go… US Presidential Elections, second waves, third tiers and second lockdowns, all while struggling to maintain some semblance of professionalism for the next Zoom call… Definitely time for ‘self-care’ via some selected data science reading materials! Following is the November edition of our Royal Statistical Society Data Science Section newsletter. HopefullyContinue reading “November Newsletter”
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The Data Science Section of the Royal Statistical Society includes experienced representatives from business, industry, government and academia and was formed to address emerging topics that will impact the long term success of data science as a profession.
We aim to be the professional body for data science in the UK and have clear goals:
Support technically-skilled data scientists by increasing their public profile and providing a mentorship network.
Run a series of events with UK data science leaders, disseminating guidance and exemplars of best practice.
Drive networking and best practice through social events and hackathons.
