影片信息
- 片名:数据的乐趣
- 状态:HD
- 主演:Hannah Fry/
- 导演:Catherine Gale/
- 年份:2016
- 地区:英国
- 类型:记录片/
- 时长:内详
- 上映:未知
- 语言:英语
- 更新:2025-03-06 18:10
- 简介: A witty, exhilarating and mind-expanding exploration of the word of our times - data - with mathematician Dr Hannah Fry. Following in the footsteps of BBC Four's previous gleefully nerdy, award-winning maths films The Joy of Stats, Tails you Win - The Science of Chance and The Joy of Logic, this new high-tech romp reveals exactly what data is and how it is captured, stored, shared and made sense of. Fry also tells the story of the engineers of the data age, people most of us have never heard of despite the fact they brought about a technological and philosophical revolution. For Hannah Fry, the joy of data is all about spotting patterns. She's Lecturer in the Mathematics of Cities at UCL as well as being the presenter of the BBC series Trainspotting Live and City in the Sky, and she sees data as the essential bridge between two universes - the tangible, noisy, messy world that we see and experience, and the clean, ordered, elegant world of maths, where everything can be captured beautifully with equations. Along the way the film reveals the connection between Scrabble scores and online movie streaming, explains why a herd of Wiltshire dairy cows are wearing pedometers, and uncovers the remarkable network map of Wikipedia. What's the mystery link between 'marmalade' and 'One Direction'? The Joy of Data also hails the giant contribution of Claude Shannon, the American mathematician and electrical engineer who, in an attempt to solve the problem of noisy telephone lines, devised a way to digitise all information. It was Shannon, father of the 'bit', who singlehandedly launched the 'information age'. Meanwhile, the green lawns of Britain's National Physical Laboratory host a race between its young apprentices in order to demonstrate how and why data moves quickly and successfully around modern data networks. It's all thanks to the brilliant technique first invented there in the 1960s by Welshman Donald Davies - packet switching - without which there would be no internet as we know it. But what of the future, big data and artificial intelligence? Should we be worried by the pace of change, and what our own data could and should be used for? Ultimately, Fry concludes, data has empowered all of us. We must have machines at our side if we're to find patterns in the modern-day data deluge. But, Fry believes, regardless of AI and machine learning, it will always take us to find the meaning in them.
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A witty, exhilarating and mind-expanding exploration of the word of our times - data - with mathematician Dr Hannah Fry. Following in the footsteps of BBC Four's previous gleefully nerdy, award-winning maths films The Joy of Stats, Tails you Win - The Science of Chance and The Joy of Logic, this new high-tech romp reveals exactly what data is and how it is captured, stored, shared and made sense of. Fry also tells the story of the engineers of the data age, people most of us have never heard of despite the fact they brought about a technological and philosophical revolution. For Hannah Fry, the joy of data is all about spotting patterns. She's Lecturer in the Mathematics of Cities at UCL as well as being the presenter of the BBC series Trainspotting Live and City in the Sky, and she sees data as the essential bridge between two universes - the tangible, noisy, messy world that we see and experience, and the clean, ordered, elegant world of maths, where everything can be captured beautifully with equations. Along the way the film reveals the connection between Scrabble scores and online movie streaming, explains why a herd of Wiltshire dairy cows are wearing pedometers, and uncovers the remarkable network map of Wikipedia. What's the mystery link between 'marmalade' and 'One Direction'? The Joy of Data also hails the giant contribution of Claude Shannon, the American mathematician and electrical engineer who, in an attempt to solve the problem of noisy telephone lines, devised a way to digitise all information. It was Shannon, father of the 'bit', who singlehandedly launched the 'information age'. Meanwhile, the green lawns of Britain's National Physical Laboratory host a race between its young apprentices in order to demonstrate how and why data moves quickly and successfully around modern data networks. It's all thanks to the brilliant technique first invented there in the 1960s by Welshman Donald Davies - packet switching - without which there would be no internet as we know it. But what of the future, big data and artificial intelligence? Should we be worried by the pace of change, and what our own data could and should be used for? Ultimately, Fry concludes, data has empowered all of us. We must have machines at our side if we're to find patterns in the modern-day data deluge. But, Fry believes, regardless of AI and machine learning, it will always take us to find the meaning in them.展开
9.0斯蒂芬·托波罗斯基/Stephen/Tobolowsky/吕塞特·安东尼/Lysette/Anthony/肖恩·扬/Sean/Young/
5.0 杰·科特尼/哈西·哈里森/约什·赫斯顿/Rob Carlton/艾拉·纽顿/James Munn/Mike Goldman/乔恩·奎斯蒂德/Liam Greinke/Ryland Pearson-McManus/Teah Fraser/Sean Richard/Jess Tredinnick/
4.0 Felix Baumgartner/Luke Aikins/韦德·伊斯特伍德/
5.0玛雅·凯洛哈/克里斯·桑德斯/西德尼·阿古顿/比利·马格努森/蒂亚·卡雷尔/汉娜·沃丁厄姆/考特尼·万斯/扎克·加利凡纳基斯/艾米·希尔/凯波·杜多伊特/费斯·费伊/华拉莱·钟/李截/Darny/Chau/David/Hekili/Kenui/Bell/Celia/Kenney/斯凯勒·拜布尔/克里斯蒂安·杨/Blake/La/Benz/Don/Nahaku/
9.0欧文·威尔逊/伊丽莎白·亨利/索尼娅·达玛·洛佩斯/瑞安·切尔旺科/艾丹/T.K./贝克/露西·弗莱尔/卢西亚·斯杜斯/保罗·科索波德/温迪·麦丽登·康薇/斯蒂芬·鲁特/麦可拉·沃金丝/罗布·菲格罗亚/迈克尔·彭伯顿/文·克雷格/小伊万德·杜克/席亚拉·蕾妮/莎拉·贝克/布里特·麦克亚当斯/丹妮·狄龙/瑞安·高卢/斯科特·比纳/
4.0桑德里娜·博内尔/耶日·拉齐维沃维奇/格莱戈尔·科林/洛尔·玛尔萨克/弗兰西丝·法比安/
1.0 Steve Burns/Joshua Dela Cruz/Traci Paige Johnson/
8.0 雅罗斯拉娃·莎勒洛娃/Kati Sír/Márk Zala/拉约什·鲍拉诺维奇/Péter Blaskó/
9.0 怀灵/Tuan Tran/Diep Bao Ngoc/Le Giang/Nsut Huu Chau/Minh Dang/Trinh Minh Dung/Binh Hung/Hy Hy/Cuong Map/Long Map/Bi Max/Tommy Nguyen/Dung Nhí/Hoang Phi/菲凤/PT Ngoc Diep/吕青玄/梁世成/Tam Thanh/
7.0 50分/梅尔·吉布森/布莱恩·范·霍尔特/诺拉·泽特纳/温斯顿·凯奇/Spice Williams-Crosby/迈克尔·希罗/加布里埃拉·翰/Camille Collard/杰伊·赫农/Brenna Marie Narayan/Courtney Lynn/Vincent E. McDaniel/Lilo Baier/Sean Patrick Bryan/Randall J. Bacon/Mickey Wagner/Hawaii McLaughlin/
10.0 吉姆·亨森/弗兰克·奥兹/Kathryn Mullen/
8.0肯·佛瑞/卡塔莉娜·凯斯/德拉甘·米恰诺维奇/蒙特·马卡姆/
3.0 让-路易斯·巴劳特/Teddy Bilis/Sylviane Margollé/
10.0玛琳·黛德丽/赫伯特·马歇尔/加里·格兰特/迪基·穆尔/
6.0 茱丽叶·葛烈必/Laurie Babin/Elisabeth Locas/马克斯韦尔·麦卡比-洛克斯/
1.0吉姆·卡维泽/亚历山大·路德韦格/迈克尔·切克利斯/劳拉·邓恩/克兰西·布朗/瑟达吕斯·布兰/史蒂芬·詹姆士/马修·达达里奥/乔·马辛吉尔/杰西·厄舍/马修·弗里亚斯/拉杰西·史密斯/加文·卡萨莱尼奥/
7.0 佐伊·马奇尔/弗兰克·盖思堂彼得/Bosh/Chilla/Alassane Diong/Disiz La Peste/Hafid F. Benamar/科林·贝茨/米兰妮·让帕诺米/Zoé Diowo-Ceccaldi/Florence Fauquet/乔纳森·德缪杰/阿利克斯·贝纳泽什/帕斯卡尔·艾尔索/Eva Windstein/Agnès Godey/Erwan Szejnok/Azad Boutella/Wendy Grenier/Noémie Desbordes/
1.0 James Zimbardi/斯凯尔·卡莱布/珍·斯马特/
7.0 小罗伯特·唐尼/斯碧尔·谢波德/瑞安·奥尼尔/玛丽·斯图尔特·马斯特森/克里斯托弗·麦克唐纳/约瑟夫·索默/乔·格里法西/Henderson Forsythe/苏珊·鲁坦/Lester Lanin/
5.0 乌尔里奇·汤姆森/赫宁·莫里岑/托玛斯·博·拉森/帕普丽卡·斯汀/碧尔特·诺伊曼/崔娜·蒂虹/赫尔·多勒里斯/Therese Glahn/Klaus Bondam/布贾内·亨里克森/Gbatokai Dakinah/Lasse Lunderskov/拉尔斯·博格曼/莱娜·劳布·克森/Linda Laursen/John Boas/Erna Boas/Bent Henningsen/Poul Kajb?k/Vibeke Dalset/
2.0 乔尔·金纳曼/桑德拉·梅·弗兰克/梅奇·费法/马克·斯特朗/迈克尔·艾克朗德/乔纳森·科恩斯根/马修·卡米莱里/安东尼·格兰特/Chris Dingli/Djinda Kane/Marko Nikolic/贝姬·卡米莱里/Katrina Lupi/贾马尔·格兰特/Anselmo DeSousa/Shane Rowe/Sean James Sutton/Mariolys Morales/迈克·帕里什/
10.0乔尔·金纳曼/马克·斯特朗/桑德拉·梅·弗兰克/梅奇·费法/
6.0 柯林·纳麦克/杨茜·巴特勒/史蒂芬·比灵顿/斯凯·劳瑞/Oliver Walker/Ali Eagle/安娜贝尔·赖特/Laura Dale/Georgina Philipps/Nigel Barber/罗伯特·英格兰德/Heather Gilbert/Jenny May Darcy/Kalina Stoimenova/Carolina Bratanova/
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