数据的]%乐趣

剧情简介

　　A witt%y, ex/hilara*ting and mi::nd(*-ex`panding explorati%on  , of the word !`of our tim-+es - data - w`ith]; mathe^\matician Dr Hannah Fry. Followin?`g
=; in t_^he foot./)[ste,?ps ;o\/;f BBC Fou@$ r;
_'s
pr/evious glee:%^fully nerdy,;#_ award-winni
n)g =!\maths film!s T he Joy of S?.)tats, Tails yo!u Win - The 
Science o)=;f Cha](?nce and The Joy of Logi*_c, .?th`.is new high-t] ech r]]+omp \reveals(^ \ex$actly what: data- is and how it i_s captu; ? red, st(;\?ored! ,_\ shared a(^nd mad(.e sense * of. Fry also te#@lls% the story of t$.h ^e =)e! \nginee
#-rs of\ /-the _ d-ata $ ag$)e, people most %of us have never heard of despite the fact they brought about=] a tec?hnol?ogical and %`ph@`ilosoph,(ical re$?volutio!n!.　　For]*!. Hannah Fry, the joy of data@$[% is a$_ll`-, abo @ut )s($@potting p.atterns. She's\ Lecturer in the]= Ma
th`ematics
!of Cit,(i-`es at U\CL as well %\? as] being th!e presenter! of @t%:-`^he/+ BBC se +ries Tr! ain\,$
sp.o*ttin+*g Live and City in the S;ky$:^,,)\ and she-( sees da -@ta a,s%! the essen!..t
$ ial brid;ge between two_ universes [- the tangibl[%%!e, n=+/oisy, mess\]y world tha)t _]we ]*s_ee and exp# %erience, and the c;: %*lean, o^_r-!^?d_ered, ele @gant wo=,?rld of _%maths%+, +?where everyth*)ing can be captured beau#tifully with equation\\ s.　　Al ^_o
.@ng th_e way the film reveals+ the connec)%`tion b_^etween Sc-rabble sc(or` es an=d onlin!e (?$movie streaming, e:xpl;#;ains\+ why \-^a herd%.; of  Wi\_ltshir%`e da
*iry cows ar%*$?e w%earing p^edometers, and *$unco\(vers the #remarka)ble ]network map of Wik [=ipedia. What's the myster-;y l??ink between 'mar )ma]lade' an``d ]\?'O$:%ne __Dire$=;^ction'?　　The Joy of Data# also hails the giant `.contri`but `-i
=on of Claude Shan-^:non, t)).he` American ?+$ ma*;#thematic,.ian $%and e]l-ec( trical engin e;er wh?o, $i+]n a]n atte,..mpt to so#!
lve the probl *em of noisy /_telephone lin]$es, de\vi@],sed a way to di?gitis?^e al: l in[@(for
^mat\
io.n. It was Shannon, father of(( the 9bit', who si$ngl).ehand[edly la unc` ``hed the 'infor $
`mation age
9. Me%:anwhile, the gree *n$: lawn\s of Brit*%ai #n's Nat/\#(iona+$)-l Physical Labora#!(tory host a race bet[ween? its young appre`:ntices+] ?)in order to demonstrate ho%w and wh
\]y da;t\a moves qui# ckly and succes_sfully aroun_d mod.?`ern - data netwo:rks. It/,/9s all thanks to the br) #ill(_-iant t,echnique :-%*fir!.st in$;vented there in ] t$/he 1960s b) y#
? Welshman(,:; +  Don+)al
 _d Davies - *%packet switc;?`hing - with.=out )]
which\ there would be no[*: internet @ _as we know it.)　`]/　But what of the\_ futur
e, big da(`ta an]d artificial i
/ntel\\lige ,nce? Should w%\e be w%@o:.rri^^
e#d[$ b,-`y the pa,/ce of change._(, and [wh
$at [#o.?ur own [data co[/uld`/ and ( )sh[`ould be used for? Ultimat#ely, Fry_ c;onc-$+l@ ud-es, data has emp/o w*
%e?=r-/e+d =a@*ll of u+=s. We must have machines at =our $$sid/e if we!9re to find% pat@terns in th\=e modern-day da@ta deluge. But,) Fry b
elieves, regardless o]f A I and .?ma*-%c?hine lea-
rning, it w\i/
%;l/ *l always t]$\^ake u+ ( s to find the meaning) \ in the#m.