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March Newsletter – Royal Statistical Society Data Science Section

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February may technically be the shortest month but it certainly can feel long… I think I sensed a slight brightening in the morning light but I may have been mistaken… Maybe time for a bit of distraction with a wrap up of data science developments in the last month. Don't miss out on more ChatGPT fun and games in the middle section! Following is the March edition of our Royal Statistical Society Data Science and AI Section newsletter. Hopefully some interesting topics and titbits to feed your data science curiosity. If you like these, do please send on to your friends- we are looking to build a strong community of data science practitioners.


December Newsletter – Royal Statistical Society Data Science Section

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It certainly feels like winter is here judging by the lack of sunlight. But a December like no other, as we have a World Cup to watch – although half empty, beer-less, air-conditioned stadiums in repressive Qatar does not sit well …Perhaps time for a breather, with a wrap up of data science developments in the last month. Following is the December edition of our Royal Statistical Society Data Science and AI Section newsletter. Hopefully some interesting topics and titbits to feed your data science curiosity. If you like these, do please send on to your friends- we are looking to build a strong community of data science practitioners.


April Newsletter

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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 of our Royal Statistical Society Data Science Section newsletter. If you like these, do please send on to your friends- we are looking to build a strong community of data science practitioners. It definitely feels like progress, at least in the UK, on the Covid front, with over 30m people now having received their first vaccine dose. Supply issues notwithstanding, it is clear that the vaccine roll-out is progressing very well.


Why Golang and Not Python? Which Language is Perfect for AI? - RTInsights

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Golang is now becoming the mainstream programming language for machine learning and AI with millions of users worldwide. Python is awesome, but Golang is perfect for AI programming! Launched a decade back, November 2009, Golang recently turned ten. The language developed by Google's developers is now making programmers more productive. These developers main goal was to create a language that would eliminate the so-called "extraneous garbage" of programming languages like C .


Why Golang and Not Python? Which Language is Perfect for AI?

#artificialintelligence

Golang is now becoming the mainstream programming language for machine learning and AI with millions of users worldwide. Python is awesome, but Golang is perfect for AI programming! Launched a decade back, November 2009, Golang recently turned ten. The language built by Google's developers is now making programmers more productive. These creators main goal was to create a language that would eliminate the so-called "extraneous garbage" of programming languages like C .


York U engineering research uses AI to predict flood risk in real-time York Media Relations

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Research models use data from Toronto's Don River and Calgary's Bow River TORONTO, November 11, 2019 – Using complex models based on artificial intelligence (AI) and data from the Don River in Toronto and Bow River in Calgary, researchers at the Lassonde School of Engineering can now predict the water levels in rivers days in advance of floods. "We've created methods to predict real-time flood risk," says Usman T. Khan, professor in the Department of Civil Engineering at York's Lassonde School of Engineering. "These results outline an approach that can be used to create models with higher accuracy and lower data requirements, which translates to improved flood early warning systems. Early warning systems are considered the most effective way to mitigate flood induced hazards." The study, led by Khan, was published today in the Journal of Hydrology.