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”
I know reality doesn’t matter anymore. I get that beliefs no longer require an underlying connection to facts about the world. I’ve made my peace with all of that. Because, generally speaking, I don’t care what you think. If you want to believe that 5G towers can spread viruses, be my guest. But a falseContinue reading “This pandemic belief is mad, bad and dangerous to know”
A critical piece of the UK Test and Trace infrastructure failed hard this week. All contacts of almost 16,000 COVID-19 infected people were allowed to circulate unknowingly for an entire seven days in the community. That’s about 50,000 people. I’m not going to complain about Public Health England (PHE) using excel to merge the testContinue reading “How not to lose 16,000 COVID-19 test results: a data scientist’s view”
Hi everyone- As the rain pours down it definitely feels like winter has arrived- all the more reason to spend some time indoors huddled up with some good data science reading materials! Following is the October edition of our Royal Statistical Society Data Science Section newsletter. Hopefully some interesting topics and titbits to feed yourContinue reading “October Newsletter”
This document chronicles the recent controversy surrounding the UK exams fiasco where an algorithmic approach was rejected and demonstrates areas where those building and deploying models must be vigilant and have training, process and governance in placeGiles Pavey – September 2021 Background In March 2020, the UK Government made the significant policy in response toContinue reading “Lessons on Algorithm ethics from UK Exam algorithm story”
Announcing our new Data Science Section Initiative: Share and discuss ethical challenges encountered in your professional life during Ethics Happy Hours Ethical questions are ubiquitous in pursuing real-world data science projects. During the Covid-19 crisis, controversies around the design of contact tracing apps or the moderation of GCSE and A-level results have recently served asContinue reading “Ethics Happy Hours”
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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.