This is for you. Yes, you, the one hiding behind that desk in the corrections room. [YouTube]
A Special Message For Language Pedants From Stephen Fry
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What's the difference between the best tennis players in the world and those striving to reach the top five, or even the coveted number one ranking? The ability to execute the perfect forehand or deliver an ace at a crucial moment isn't merely about having the best skills. It's about making the best decisions at pivotal moments. And, as players are trying to improve their games, machine learning is starting to influence how they make those split-second decisions.
When we talk about how artificial threatens to impact jobs, we’re usually talking about how machine learning threatens to impact jobs. As the ‘hottest’ subfield of AI going, i.e. the one receiving the lion’s share of the research dollars and commercial investment, it’s pretty crucial to understand how, specifically, it’s going to roll out in offices and workplaces. Which jobs, and which tasks within those jobs, it stands to automate. Yet while a number of studies have endeavoured to examine the impact of automation writ large on the employment picture, fewer have homed in on machine learning specifically.