This fundamental knowledge allows machine learning engineers to understand which algorithms best address a problem and how to optimize outcomes.Source: Forbes
What doesn't kill you, makes you stronger. That's probably the prescription pill for the $150 billion IT industry that faced multiple headwinds in the form of increased visa scrutiny and slowdown in client spending this year.Source: Gadgetsnow
Not a day goes by when one doesn't come across the term 'ethical watchdog'. With enterprises mainstreaming AI applications and consumer AI taking off, concerns around data misuse, algorithmic bias abound. The recent GDPR guidelines that put the focus on the need for ethics and governance in AI is a laudable attempt to bring together legal and technical communities to help form better policy in the future.Source: HOB
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