full transcript
"From the Ted Talk by Anthony Goldbloom: The jobs we'll lose to machines -- and the ones we won't"

Unscramble the Blue Letters

In 2013, researchers at Oxford University did a study on the future of work. They concluded that almost one in every two jobs have a high risk of being automated by machines. Machine learning is the technology that's responsible for most of this dioitpsurn. It's the most powerful branch of artificial intelligence. It allows machines to learn from data and mimic some of the things that humans can do. My company, Kaggle, operates on the cutting edge of machine leinrang. We bring together hundreds of thousands of experts to solve iramopntt pbmrloes for industry and aicadema. This gives us a uqniue psievcprtee on what machines can do, what they can't do and what jobs they might automate or threaten.

Open Cloze

In 2013, researchers at Oxford University did a study on the future of work. They concluded that almost one in every two jobs have a high risk of being automated by machines. Machine learning is the technology that's responsible for most of this __________. It's the most powerful branch of artificial intelligence. It allows machines to learn from data and mimic some of the things that humans can do. My company, Kaggle, operates on the cutting edge of machine ________. We bring together hundreds of thousands of experts to solve _________ ________ for industry and ________. This gives us a ______ ___________ on what machines can do, what they can't do and what jobs they might automate or threaten.

Solution

  1. problems
  2. academia
  3. disruption
  4. important
  5. perspective
  6. learning
  7. unique

Original Text

In 2013, researchers at Oxford University did a study on the future of work. They concluded that almost one in every two jobs have a high risk of being automated by machines. Machine learning is the technology that's responsible for most of this disruption. It's the most powerful branch of artificial intelligence. It allows machines to learn from data and mimic some of the things that humans can do. My company, Kaggle, operates on the cutting edge of machine learning. We bring together hundreds of thousands of experts to solve important problems for industry and academia. This gives us a unique perspective on what machines can do, what they can't do and what jobs they might automate or threaten.

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collocation frequency
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Important Words

  1. academia
  2. artificial
  3. automate
  4. automated
  5. branch
  6. bring
  7. company
  8. concluded
  9. cutting
  10. data
  11. disruption
  12. edge
  13. experts
  14. future
  15. high
  16. humans
  17. hundreds
  18. important
  19. industry
  20. intelligence
  21. jobs
  22. kaggle
  23. learn
  24. learning
  25. machine
  26. machines
  27. mimic
  28. operates
  29. oxford
  30. perspective
  31. powerful
  32. problems
  33. researchers
  34. responsible
  35. risk
  36. solve
  37. study
  38. technology
  39. thousands
  40. threaten
  41. unique
  42. university
  43. work