Machines will drastically alter the workforce

Fed the right amount and type of data, machines will be able to learn to do jobs so well that they will radically alter the workforce says one expert. The prediction comes from Anthony Goldbloom, founder of the data scientist crowdsourcing platform Kaggle, in an address which was recently uploaded by TED Talks. “Over the past two years, we have made dramatic breakthroughs. Machine learning is now capable of far, far more complex tasks,” Goldbloom said. He noted that from simple tasks like sorting mail, two recent separate challenges set up by his company Kaggle resulted in machines performing as good as humans in scoring essays and detecting the eye disease diabetic retinopathy. “A teacher might read 10,000 essays over a 40-year career. An ophthalmologist might see 50,000 eyes. A machine can read millions…

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