All language subtitles for 13-Lecture 1 Segment 13 What can AI do - Decision Making.en

af Afrikaans
ak Akan
sq Albanian
am Amharic
ar Arabic Download
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fr French
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranî)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:01,629 --> 00:00:05,870 Okay, so you just saw a tour of the areas of AI. And we'll go into these 2 00:00:05,870 --> 00:00:09,210 throughout the course in a little more depth. But really AI is all around you in a way 3 00:00:09,210 --> 00:00:11,999 that doesn't always categorize so neatly. 4 00:00:11,999 --> 00:00:15,419 In general applied AI is automation of some kind. There's some kind of decision problem you want to 5 00:00:15,419 --> 00:00:18,179 automate, something that's too hard for you to do by hand and you want 6 00:00:18,179 --> 00:00:19,139 computer assistance. 7 00:00:19,139 --> 00:00:23,309 So scheduling--airline rallying, military planning--things like that, regularly done 8 00:00:23,309 --> 00:00:24,109 by AI. 9 00:00:24,109 --> 00:00:28,429 Route planning--every time you go get a traffic map, that's AI. 10 00:00:28,429 --> 00:00:31,869 The search algorithms aren't so different than the kinds of things we'll do when we study search. 11 00:00:31,869 --> 00:00:33,580 Medical diagnosis. 12 00:00:33,580 --> 00:00:36,530 You can input your symptoms. There are medical diagnosis systems that will then 13 00:00:36,530 --> 00:00:40,020 try to figure out the underlying diagnosis. These systems actually in many cases 14 00:00:40,020 --> 00:00:43,810 are very good. There are even cases where they can be better than humans. 15 00:00:43,810 --> 00:00:46,700 Web search engines. Some of you may have used a web search engine... 16 00:00:46,700 --> 00:00:49,730 This has got AI everywhere. It's got some natural language in the text, 17 00:00:49,730 --> 00:00:52,760 there's machine learning in figuring out how to rank results using 18 00:00:52,760 --> 00:00:55,809 multiple kinds of features. It's kind of AI everywhere in these things. 19 00:00:55,809 --> 00:00:58,820 Spam classifiers: you may have noticed that the amount of spam you've got your life, 20 00:00:58,820 --> 00:00:59,809 probably, 21 00:00:59,809 --> 00:01:01,319 shot up while you were young, 22 00:01:01,319 --> 00:01:03,680 right, as kind of people learned how to spam, 23 00:01:03,680 --> 00:01:07,000 and then recently I think it's been under much better control and that has to do 24 00:01:07,000 --> 00:01:09,140 with a lot better, both machine learning 25 00:01:09,140 --> 00:01:13,170 and AI techniques for spam classification. 26 00:01:13,170 --> 00:01:14,810 Automated help-desks, that's AI. 27 00:01:14,810 --> 00:01:18,140 Fraud detection on your credit card, product recommendations when 28 00:01:18,140 --> 00:01:21,520 you go to Amazon--all this stuff is AI. So there are a lot of things 29 00:01:21,520 --> 00:01:25,180 that don't really boil down to challenging a grandmaster at chess, but are 30 00:01:25,180 --> 00:01:28,780 equally applicable to industry's problems today, that come from the 31 00:01:28,780 --> 00:01:30,720 techniques that you're gonna learn about in this course. 2931

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.