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2 mentions1 same-page
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e. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to data analysis, focusing instead on building b
t can breach the bounds of the rules of the game. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to
2 mentions1 same-page
Page ?Same page
e. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to data analysis, focusing instead on building b
t can breach the bounds of the rules of the game. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to
2 mentions1 same-page
Page ?Same page
me. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to data analysis, focusing instead on building b
t can breach the bounds of the rules of the game. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to
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2 mentions1 same-page
Page ?Same page
me. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to data analysis, focusing instead on building b
t can breach the bounds of the rules of the game. Given that, either brute force or ML/statistical approaches works well enough to build things like Deep Blue or the Google self-driving car. At Palantir (where I work), we have, to date, stayed away from heavy machine learning or algorithmic approaches to
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Mutual Connections (55)
Entities connected to both Palantir and Deep Blue
Jeffrey Epstein
PERSON43 w/ Palantir·8 w/ Deep
Prince Andrew
PERSON14 w/ Palantir·7 w/ Deep
George W. Bush
PERSON14 w/ Palantir·5 w/ Deep
Stephen Hawking
PERSON10 w/ Palantir·9 w/ Deep
Barack Obama
PERSON14 w/ Palantir·4 w/ Deep
Ghislaine Maxwell
PERSON14 w/ Palantir·4 w/ Deep
Prince Charles
PERSON13 w/ Palantir·3 w/ Deep
Eric Trump
PERSON11 w/ Palantir·5 w/ Deep
John F. Kennedy
PERSON14 w/ Palantir·2 w/ Deep
Marc Rich
PERSON6 w/ Palantir·10 w/ Deep
Julie K. Brown
PERSON11 w/ Palantir·5 w/ Deep
Jeopardy
ORGANIZATION5 w/ Palantir·10 w/ Deep
Garry Kasparov
PERSON5 w/ Palantir·10 w/ Deep
Joe Biden
PERSON11 w/ Palantir·4 w/ Deep
LB
Leon Black
PERSON8 w/ Palantir·6 w/ Deep
DB
Doug Band
PERSON5 w/ Palantir·7 w/ Deep
Woody Allen
PERSON9 w/ Palantir·3 w/ Deep
Donald Trump
PERSON9 w/ Palantir·2 w/ Deep
Robert Gates
PERSON4 w/ Palantir·6 w/ Deep
AG
Ari Gesher
PERSON5 w/ Palantir·4 w/ Deep