数字预测

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数字预测
我也要给这影片打分：
主演：
Billy  Bane  Greg  Carbin  Mona  Chalabi  Richard  De  V  
状态：
HD
类型：
纪录
地区：
美国
语言：
英语
导演：
DanielMcCabe  
时间：
2020/2/11 21:19:15
年份：
2018
剧情：
Predictions underlie....
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电影“数字预测”的剧情简介：

 

欢迎观看由Billy  Bane  Greg  Carbin  Mona  Chalabi  Richard  De  Veaux  Keith  Devlin  Jordan  Ellenberg  Brian  Fleming  Rebecca  Goldin  Patrick  Murray  Regina  Nuzzo  杰伊·桑德斯  等明星主演的美国电影《数字预测》，影片剧情简介：

Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and “big data,” the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, “Prediction by the Numbers” explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don’t understand how they arrive at them? And how far ahead can we really forecast?

2018最新电影数字预测，迅雷下载数字预测高清百度云在线观看由迅雷哥电影网（www.xlg678.com）提供！如果你觉得在迅雷哥电影网观看《数字预测》不错的话，推荐给你的朋友一起来迅雷哥电影网收看吧！

最后更新于：2020/2/11 21:19:15

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Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and “big data,” the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, “Prediction by the Numbers” explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don’t understand how they arrive at them? And how far ahead can we really forecast?