96 Matching Annotations
- Apr 2019
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ped an a
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me year, DeepM
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ort helpdesk, but also discuss morality, express opinions, and answer ge
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mans as a t
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ncingly int
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at could n
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l agent (A
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trained a conve
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omputer pr
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wer have dr
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r the past four
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ate of acceleration
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ike magic.
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more and
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a world fu
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es feeling left behi
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o does not un
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vation this century. A
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powerfully than
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ape our future
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tificial intelligence
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ning matters
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Why machine
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he Appendix
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ommendations i
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look at
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tc., take a
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rojects to atte
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extbooks to
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which course
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sted in figurin
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ou're more in
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hours.
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concept
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igh-level ma
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g up-to-sp
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s is a guide
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ledge of th
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iscussed,
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ut it isn’t nec
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sary to h
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bra, and c
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ramming, linea
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bility, statisti
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epts in
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e. Basic con
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ccessible to
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is intended to b
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who is curi
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bout ho
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h techni
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rimer on m
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echnic
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ople who
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to speed o
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ho want to
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echnical
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curriculum.
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ing your machine
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curated
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deep reinfor
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ue learning p
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esses. Q-lear
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ing, policy lear
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olution
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m the brain. Co
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ploration and e
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ning works. D
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Why, where, and
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omposition (S
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nalysis (PCA
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rincipal compone
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sionality re
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ng: k-mean
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nce and machine
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earning — past,
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tions, overfitt
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earners:
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on-paramet
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SVMs.
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ession an
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f classifica
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wo metho
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ient des
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erfitting, and gr
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loss functions,
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near regr
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wer key. I
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arning with an
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he big pict
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Roadmap
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nations
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Simple, plain-English
test
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Humans
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Learning for
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Machine
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