Watch the video and complete the gapshttps://www.ted.com/talks/anthony_goldbloom_the_jobs_we_ll_lose_to_machines_and_the_ones_we_won_t?language=enIn 2013, Blank 1 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued at Oxford University did a study
on the future of work. They Blank 2 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued 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 Blank 3 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued . It's
the most powerful branch of Blank 4 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued intelligence. It allows machines to
learn from data and mimic some of the things that humans can do. My company, Kaggle,
operates on the Blank 5 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued of machine learning. We bring together
hundreds of thousands of experts to solve important problems for industry
and Blank 6 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued . This gives us a unique perspective on what machines can do, what
they can't do and what jobs they might automate or threaten.
Machine learning started making its way into industry
in the early '90s. It started with relatively simple tasks. It
started with things like Blank 7 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued credit risk from loan applications, Blank 8 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued the mail by reading handwritten characters from zip codes. Over the past
few years, we have made dramatic Blank 9 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued . Machine learning is now
capable of far, far more complex tasks. In 2012, Kaggle challenged its
community to build an algorithm that could Blank 10 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued high-school essays. The
winning algorithms were able to match the grades given by human teachers. Last
year, we Blank 11 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued an even more difficult Blank 12 Вопрос 1 gradesortingcutting edge concludedchallengeartificialdisruptionassessing academiabreakthroughsresearchesissued . Can you take images of the
eye and diagnose an eye disease called diabetic retinopathy? Again,
the winning algorithms were able to match the diagnoses given by human
ophthalmologists.
К сожалению, у нас пока нет статистики ответов на данный вопрос,
но мы работаем над этим.