数据的#,%乐趣

　　_$A* wit*:ty, exhila?] rating and mind-e\$xpanding 
 _?explo^ration of the word of our ^!tim.\es -: [- data - wi)t*!h _mat
%==hem;:
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ati c,`ian Dr Ha\(nnah=(@ Fry. Fo

;llowing in the
#fo.otsteps of BBC Fou@r'`[s prev`;ious gleef +ul., _ly nerdy!^, aw%ar\d-w) i+nning maths films Th [e Jo@=,y of Sta%t?;s\, Tails y\ou Win - ;] %^T*+#he Scie[nce o.,f Cha []n\^ce :\=an](d Th^e Joy )?of Logic,%--  this! new high-tech romp reveals exactly %+;what data is and ho$,w it is %%capt ,ured\, stored,
/shared ^a$nd made \]$sense ,of]. Fry also tells /! the story of th%?:: e engi)]!)neers of the)* dat]a ag\e, people most- of  `us ha+_ve never heard of desp ^ite\/ th);e fact th==ey b=/;rought about @-+a tech@nological, and p-@hilos# ophic_\_a[)l revolution.　　For Ha%nnah Fry, @th?*e$[ joy of data is all a(]bout -,s#?:pottin/)g patter?.ns @. She&#`@39s Lecturer in the M][athe mati]cs of C:]i/ties at UCL
 as/#/ well as being the #pre\ ?se `@n%( ter of .++_the /$-BBC seri. es Trainspotting Live?\; ?and City in the Sk
,)y, an+d she sees /`%data^)- as t]*he essen^ ?.tial bridge [be! #tween *;two -universes - th(`[e tangible, n#-oisy, m^]essy wo+%.rl(/d that we s ee and exp()erience, and the clea@n,, order`
ed, ele,gant wor$ld of maths, wher e everything can be captured b;:eautiful` _ly wi## t``h equations.　 　Al *[ong the 

way the film ;reveals the @$connection between Scrabble scor#es and online movie streaming, explain@\[s why a.; herd of Wil;t]shire dair[y cows( are wearing pedometers, ;a,nd un-cov\_er%;s the+ rem@ar)kable ne^twor\.k (map of Wikipedia. What')s t. he @m ystery link betw^^een &#!39ma/$rmalad#e& ]#39 and 'One Dir^ec%$tion'?　 #　The Joy of . Dat;_a / also/] hail[(s#_ t_^/he giant contribution of Claude %S_:^han_non, the Ame?: rican mathematici )an
and electr%ica#\l enginee=r who !^, in an attempt ^ ``to solv$ ?e t)/h,+e ?/)problem of noi!!^sy tele=phone l.ine`s,-_ de\ vi:sed a way*-) to di(gitise all#)+ information. )*It !:was:)` ..@Sh@annon, fathe/r of t_he &#=\ ? 39bit', who si;n*
gleh/andedly l\^(aunched the '?+:inf*or =mati+(on age'. M;#:e[anwhile ;, the gree @-n l$awns =+of Br*itai)n&#;3%
,%9s Na\#-tional P h!ys\#i
$cal Laboratory host=_ a ra
ce [betw=^een^ $$its young a ppren@_#tice, s +in %+%#order /-t[o demon -strate ,@,how and why d,*ata moves quickly and .s;uccessful?]ly around modern data !: networks,\=.+-)^ It&#(`]39s ?a)[ll ;thank!*%#s $to the=! brilliant tec ? hniqu
e first i).\/nven]*ted #/.th_[ere in the 1960s by W;elshman Donald !$Davies - p?`_\acket switching - _-without whic`h ( /there w=_ould be no internet as we k=,now i) t.　/ 　But-
; #?what ##of th% -e $;f`uture, b=ig data and artificial in
telligence? Sh)ou=@ld we): be / worr *ied by the pace of ch^a:_nge, and wha\\t our own )#$data cou; ld an
d should be used= for?=/, Ultima *tely,(,\ Fr!^y c)*$oncl*=#udes, data has;
] emp
*owered all of( us. We must have mach+in-es at our :side-  if we*!&#/?39re?^ - to find patt%erns,
.in the mode[$:rn-day data d
]eluge. But, Fry belie#/ ves, reg !ar dless of AI =-/and. m?=achine le[#!ar `-ning, i-^t will ;always ta ke us to find #the - meanin[g _in them.