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    数据的乐趣 The Joy of Data (2016)

    最近更新: 2022-09-16 HD中字
    • 主演:Hannah Fry
    • 导演:Catherine Gale
    • 编剧:未知
    • 分类:纪录片
    • 地区:英国 
    • 年份:2016 
    • 更新:09.16
    • TAG:纪录片 / BBC / 数据 / 大数据 / 英国 / Documentary / 机器学习 / 2016
    • 豆瓣评分 7.8 (354票)
    • IMDB评分 6.9 (99票)
    • TMDB评分 7.00 (热度:2.20)
    • 简介:看片狂人(www.kpkuang.com)为您奉上英国电影《数据的乐趣》的免费在线观看,《数据的乐趣》是对白语言为英语,属于纪录片类型,目前在豆瓣的评分为7.8分,有354名网友参与打分,最后祝您观影愉快,本页面也会及时添加或更新本片(剧)的最新播放源。以下是剧情简介:   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...... 完整简介请见下方

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    • 记住的:1、从维基百科推演,任何一个词语最终都回归到“哲学”上 2、二进制编码是香农在解决电话噪音时发明的 3、数学与现实世界的平行宇宙由数据链接 4、了解了香弄信息,出现频率越少的词汇携带的信息量越大 其他虚的没在记住了。 拍摄方式随性特别、被采访者的人物介绍安排巧妙
    • 比标题看起来有趣一万倍 世界的基本已承载在无数数据之上 了解实现本狗屏幕追星该要感谢的几位伟人与idea 没有选择数学或计算机专业我很遗憾 以及我需要阅读一些哲学书籍 kkkk
    • 简单易懂,非常具象,不需要基础
    • 数据描绘的世界,http://www.iqiyi.com/v_19rra0goig.html
    • 想赞美一下字幕组!真是我见过的最强大的字幕组!
    • 除了讲了“人们用数据做决策”和香农公式以外,没有讲什么其它有趣的数据相关的知识。
    • https://www.bilibili.com/video/BV1gW411A7ui
    • 无需恐惧技术本身,应在意应用技术的目的。
    • 更强大的科学与技术本身不值得恐惧,应该恐惧的是人性恶利用这些工具导致世界走向更可怕的方向,如何使用强大有杀伤力的工具是更值得关注的问题,人类应该更谨慎地对待自己的选择和实际行动,激进和巨大的改变并不一定是值得庆贺的事情。
    • 大数据的应用始于医疗,也和医疗联系最紧密;数据储存和传输的历史:打孔机、磁盘储存、香农熵(确定压缩极限)、互联网、分包传输;主持人Hannah Fry是UCL的数学教授,流体力学博士学位
    • 太喜欢了这个系列了!这部真是生动解释了什么叫通俗易懂,什么叫寓教于乐,能把香农和戴维斯的理论解释得这么简洁明了,还要啥自行车?最后那个数据生活实验还是觉得太可怕,虽然我们正在一步步走向那个方向
    • 数据快速发展不过近百年,却发挥了巨大作用。
    • 不错
    • Pattern instead of presence.
    • 好看。看来这是趋势。希望更多的数据搜集与公布应用。只有开放数据,共享数据,才能发现更多有意思、意想不到的用处。提醒自己得去学习这方面的东西了。
    • 科技本身是美的,值得警惕的归根到底还是人。
    • 挺浅显易懂的
    • When normal people‘s daily life is involved in data analysis and science, the public focus on ethic instead of the new technology.
    • 感觉数学科普片没有物理科普片好看…QAQ
    • 爲了普及數據知識的節目,很生動,也有其深刻之處。香港TVB2018-5-4播出了《數據遊戲》,廣東話解說,中文字幕。
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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.

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