3. Sexiest
 job
 in
 21st
 century*
Â
Â
McKinsey
 Global
 Ins&tute
 report
 es&mates
 that
 by
Â
2018,
 âthe
 United
 States
 alone
 could
 face
 a
Â
shortage
 of
 140,000
 to
 190,000
 people
 with
 deep
Â
analy&cal
 skills
 as
 well
 as
 1.5
 million
 managers
 and
Â
analysts
 with
 the
 know-Ââhow
 to
 use
 the
 analysis
 of
Â
big
 data
 to
 make
 eďŹec&ve
 decisionsâ
Â
Source:
 Harvard
 business
 Review
 Octâ
 2012
Â
Â
9. Itâs
 a
 broader
 skillset
Â
Source:
 h[p://blogs.wsj.com/cio/2014/02/14/it-Ââtakes-Ââteams-Ââto-Ââsolve-Ââthe-Ââdata-Ââscien&st-Ââshortage/
Â
10. Data
 science
 pipeline
Â
Source:
 h[p://cacm.acm.org/blogs/blog-Ââcacm/169199-Ââdata-Ââscience-ÂâworkďŹow-Ââoverview-Ââand-Ââchallenges/fulltext
Â
11. Where
 does
 Kaggle
 ďŹt
 it?
Â
Â
Â
Degree
 breakdown
 in
 top
 100
 Areas
 of
 study
Â
15. So
 what
 about
 machine
 learning?
Â
Pioneer
 in
 machine
 learning,
 created
 a
 checkers
 game
 that
 played
 itself
Â
âGive
 machines
 the
 ability
Â
to
 learn
 without
 explicitly
Â
programming
 them.â
Â
Arthur
 L.
 Samuel
 (1959)
Â
19. Build
 a
 model
Â
UnderďŹt
 OverďŹt
Â
Linear
 Regression
Â
Solve
 for
 values
 of
 θ
 in
 the
 Hypothesis
 func&on
Â
 hθ(x)
Â
20. Gradient
 descent
 algorithm
Â
Minimize
 cost
 func&on
 which
 is
 ½
 of
 average
Â
square
 error
 of
 predic&on
 vs.
 the
 training
 data.
Â
33. How
 can
 I
 get
 started?
Â
â˘âŻ MOOCs
Â
â⯠Coursera
 Machine
 Learning
Â
Â
(Andrew
 Ng
 -Ââ
 Stanford)
Â
â⯠Learning
 from
 Data
Â
(Abu-ÂâMostafa
 -Ââ
 Caltech)
Â
â˘âŻ Other
 references
Â
â⯠Collec&ve
 Intelligence
Â
â⯠Mining
 of
 massive
 data
 sets
Â
â⯠Open-ÂâSource
 Data
 Science
 Masters
Â
â˘âŻ Frameworks
Â
â⯠Python
 â
 Scikit
 learn
Â
â⯠Java
 â
 WEKA
 and
 Cascading
Â