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By	
  Tom	
  Howells,	
  Staff	
  Writer,	
  Fraud	
  &	
  Technology	
  Wire	
   	
   	
   Jan	
  8,	
  2016	
  
In	
  our	
  short	
  series	
  last	
  year,	
  we	
  outlined	
  how	
  machine	
  learning	
  can	
  be	
  used	
  to	
  detect	
  new,	
  
never	
  before	
  seen	
  types	
  of	
  fraud.	
  By	
  combining	
  machine	
  learning	
  with	
  big	
  data	
  and	
  Hadoop,	
  it	
  is	
  
now	
  possible	
  to	
  monitor	
  massive	
  amounts	
  of	
  data	
  in	
  real	
  time	
  and	
  detect	
  anomalies	
  faster	
  than	
  
ever	
  before.	
  
To	
  create	
  this	
  list	
  of	
  machine	
  learning	
  influencers,	
  we	
  used	
  the	
  Twitter	
  application	
  
LittleBird.	
  The	
  app	
  has	
  a	
  feature	
  called	
  insiders,	
  which	
  calculates	
  how	
  connected	
  a	
  Twitter	
  user	
  
is	
  in	
  regards	
  to	
  particular	
  topics.	
  It	
  rates	
  insiders	
  based	
  on	
  how	
  many	
  of	
  the	
  other	
  insiders	
  follow	
  
that	
  individual.	
  Here	
  are	
  the	
  top	
  machine	
  learning	
  influencers	
  of	
  2015:	
  
	
  
Rank	
  	
  	
   Name	
   Twitter	
  Handle	
   Followers	
  	
  	
   Company	
  
1	
   Andrew	
  Ng	
   @andrewyng	
   46.1K	
   Chief	
  Scientist,	
  Baidu	
  Inc.	
  	
  	
  
2	
   Hilary	
  Mason	
   @hmason	
   66.8K	
  
Founder,	
  Fast	
  Forward	
  
Labs	
  	
  	
  
3	
   Yann	
  LeCun	
   @ylecun	
   13.6K	
  
Director	
  of	
  AI	
  Research,	
  
Facebook	
  	
  	
  
4	
   Andrej	
  Karpathy	
   @karpathy	
   13.7K	
  
Computer	
  Science	
  PhD	
  
Student,	
  Stanford	
  	
  	
  
5	
   Gregory	
  Piatetsky	
   @kdnuggets	
   45.9K	
   President,	
  KDnuggets	
  	
  	
  
6	
   Kirk	
  Borne	
   @kirkdborne	
   54.4K	
  
Principal	
  Data	
  Scientist,	
  
Booz	
  Allen	
  Hamilton	
  	
  	
  
7	
   Olivier	
  Grisel	
   @ogrisel	
   12.6K	
   Software	
  Engineer,	
  Inria	
  	
  	
  
8	
   Randy	
  Olson	
   @randal_olson	
   78.3K	
  
Postdoctoral	
  researcher,	
  
UPenn	
  	
  	
  
9	
   John	
  Myles	
  White	
   @johnmyleswhite	
   14.3K	
   Scientist,	
  Facebook	
  	
  	
  
10	
   Peter	
  Skomoroch	
   @peteskomoroch	
   27K	
  
Startup	
  Co-­‐Founder	
  and	
  
CEO	
  	
  	
  
11	
   Andreas	
  Mueller	
   @t3kcit	
   7.1K	
  
Assistant	
  Research	
  
Scientist,	
  NYU	
  	
  	
  
12	
   Ben	
  Lorica	
   @bigdata	
   29.3K	
  
Chief	
  Data	
  Scientist,	
  
O’Reilly	
  Media	
  	
  	
  
13	
   Jeff	
   @hackingdata	
   24.5K	
   Founder,	
  Cloudera	
  	
  	
  
Hammerbacher	
  
14	
   Wes	
  McKinney	
   @wesmckinn	
   14K	
  
Software	
  Engineer,	
  
Cloudera	
  	
  	
  
15	
   Richard	
  Socher	
   @RichardSocher	
   4.5K	
   CEO,	
  Metamind	
  	
  	
  
16	
   Ryan	
  Rosario	
   @datajunkie	
   12.8K	
  
Statistics	
  PhD	
  Candidate,	
  
UCLA	
  	
  	
  
17	
   Drew	
  Conway	
   @drewconway	
   14.8K	
  
Founder	
  and	
  CEO,	
  
Alluvium	
  	
  	
  
18	
   Nando	
  de	
  Freitas	
   @NandoDF	
   4.1K	
  
Deep	
  Mind	
  Scientist,	
  
Google	
  	
  	
  
19	
   David	
  Smith	
   @revodavid	
   17.8K	
  
R	
  Community	
  Lead,	
  
Microsoft	
  	
  	
  
20	
   Fei-­‐Fei	
  Li	
   @drfeifei	
   5.2K	
  
Professor	
  of	
  Computer	
  
Science,	
  Stanford	
  	
  	
  
	
  	
  
	
  
	
  
	
  
	
  
	
  
Graphic:	
  	
  LittleBird’s	
  graphical	
  representation	
  of	
  how	
  influencers	
  are	
  connected	
  to	
  each	
  other	
  
shows	
  that	
  they	
  can	
  be	
  broken	
  into	
  different	
  communities.	
  The	
  turquoise	
  cluster	
  connects	
  people	
  
involved	
  in	
  machine	
  learning	
  at	
  research	
  universities,	
  the	
  magenta	
  cluster	
  is	
  focused	
  around	
  San	
  
Francisco,	
  while	
  the	
  gold	
  cluster	
  is	
  split	
  between	
  London	
  and	
  San	
  Francisco.	
  
	
  
	
  
	
  
	
  
	
  

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Machine learning's 2015 top influencers

  • 1.       By  Tom  Howells,  Staff  Writer,  Fraud  &  Technology  Wire       Jan  8,  2016   In  our  short  series  last  year,  we  outlined  how  machine  learning  can  be  used  to  detect  new,   never  before  seen  types  of  fraud.  By  combining  machine  learning  with  big  data  and  Hadoop,  it  is   now  possible  to  monitor  massive  amounts  of  data  in  real  time  and  detect  anomalies  faster  than   ever  before.   To  create  this  list  of  machine  learning  influencers,  we  used  the  Twitter  application   LittleBird.  The  app  has  a  feature  called  insiders,  which  calculates  how  connected  a  Twitter  user   is  in  regards  to  particular  topics.  It  rates  insiders  based  on  how  many  of  the  other  insiders  follow   that  individual.  Here  are  the  top  machine  learning  influencers  of  2015:     Rank       Name   Twitter  Handle   Followers       Company   1   Andrew  Ng   @andrewyng   46.1K   Chief  Scientist,  Baidu  Inc.       2   Hilary  Mason   @hmason   66.8K   Founder,  Fast  Forward   Labs       3   Yann  LeCun   @ylecun   13.6K   Director  of  AI  Research,   Facebook       4   Andrej  Karpathy   @karpathy   13.7K   Computer  Science  PhD   Student,  Stanford       5   Gregory  Piatetsky   @kdnuggets   45.9K   President,  KDnuggets       6   Kirk  Borne   @kirkdborne   54.4K   Principal  Data  Scientist,   Booz  Allen  Hamilton       7   Olivier  Grisel   @ogrisel   12.6K   Software  Engineer,  Inria       8   Randy  Olson   @randal_olson   78.3K   Postdoctoral  researcher,   UPenn       9   John  Myles  White   @johnmyleswhite   14.3K   Scientist,  Facebook       10   Peter  Skomoroch   @peteskomoroch   27K   Startup  Co-­‐Founder  and   CEO       11   Andreas  Mueller   @t3kcit   7.1K   Assistant  Research   Scientist,  NYU       12   Ben  Lorica   @bigdata   29.3K   Chief  Data  Scientist,   O’Reilly  Media       13   Jeff   @hackingdata   24.5K   Founder,  Cloudera      
  • 2. Hammerbacher   14   Wes  McKinney   @wesmckinn   14K   Software  Engineer,   Cloudera       15   Richard  Socher   @RichardSocher   4.5K   CEO,  Metamind       16   Ryan  Rosario   @datajunkie   12.8K   Statistics  PhD  Candidate,   UCLA       17   Drew  Conway   @drewconway   14.8K   Founder  and  CEO,   Alluvium       18   Nando  de  Freitas   @NandoDF   4.1K   Deep  Mind  Scientist,   Google       19   David  Smith   @revodavid   17.8K   R  Community  Lead,   Microsoft       20   Fei-­‐Fei  Li   @drfeifei   5.2K   Professor  of  Computer   Science,  Stanford                     Graphic:    LittleBird’s  graphical  representation  of  how  influencers  are  connected  to  each  other   shows  that  they  can  be  broken  into  different  communities.  The  turquoise  cluster  connects  people   involved  in  machine  learning  at  research  universities,  the  magenta  cluster  is  focused  around  San   Francisco,  while  the  gold  cluster  is  split  between  London  and  San  Francisco.