This document provides an overview of machine learning including: definitions of machine learning from Arthur Samuel and Tom Mitchell; common machine learning applications like recommendation systems at Amazon, Netflix, and Facebook; examples of machine learning in healthcare, finance, retail, and other industries; popular programming languages and tools used for machine learning like R, Python, Weka; and emerging cloud-based machine learning services from Microsoft, Google, Amazon, and IBM.

1. Machine
Learning
Essentials
Data
Science
Thailand
Meetup#3
@Ne8T
17
December
2015
โกเมษ​ จันทวิมล.
Komes
Chandavimol
komes@datascienceth.com
http://www.cs.toronto.edu/~urtasun/courses/CSC411/CSC411_Fall15_files/
machine_learning.jpg

2. 2
http://www.adweek.com/prnewser/how-­‐many-­‐times-­‐do-­‐the-­‐worlds-­‐social-­‐media-­‐users-­‐click-­‐every-­‐minute/117427
https://www.domo.com/learn/data-­‐never-­‐sleeps-­‐3-­‐0

3. Big
Data
Growth
3

5. http://www.wired.com/insights/2014/07/data-­‐new-­‐oil-­‐digital-­‐economy/

6. Big
Data
w/o
Algo
“Data
is
inherently
dumb.
It
doesn’t
actually
do
anything
unless
you
know
how
to
use
it;
how
to
act
with
it,”
Mr.
Sondergaard
“Algorithms
are
where
the
real
value
lies.
Algorithms
define
action.
Dynamic
algorithms
are
the
core
of
new
customer
interactions.”
“The
algorithmic
economy
will
power
the
next
great
leap
in
machine-­‐to-­‐machine
evolution
in
the
Internet
of
Things,
“Products
and
services
will
be
defined
by
the
sophistication
of
their
algorithms
and
services.
Organizations
will
be
valued,
not
just
on
their
big
data,
but
the
algorithms
that
turn
that
data
into
actions,
and
ultimately
impact
customers.
http://www.zdnet.com/article/big-­‐data-­‐is-­‐useless-­‐without-­‐algorithms-­‐gartner-­‐says/

7. ML
Machine
learning
is
a
core,
transformative
way
by
which
we’re
rethinking
everything
we’re
doing.
We’re
thoughtfully
applying
it
across
all
our
products,
be
it
search,
ads,
YouTube
or
Play
Sundar
Pichai,
CEO,
Google

8. The
field
of
study
that
gives
computers
the
ability
to
learn
without
being
explicitly
programmed.”
Arthur
Samuel
(1990)
Improving
Performance
in
some
Task
with
Experience”.
Tom
Mitchell Tom
Mitchell
(1998)
Machine
Learning
deals
with
systems
that
can
learn
from
data.
What
is
Machine
Learning?
http://nkonst.com/machine-­‐learning-­‐explained-­‐simple-­‐words/
Wikipedia

9. Workflow
http://nkonst.com/machine-­‐learning-­‐explained-­‐simple-­‐words/

10. Data
New Analytic Insights
(Information, knowledge, data story)
Data Product
+ VisualizationMass Analytic Tools
Recommender systems
Machine Learning
Complex Event Processing
Data Science Team
Data
ScientistPicture:http://www.clipartpanda.com/categories/scientist-clip-art
Where is ML in Data Science?
Doing Data Science by O'Neil et al (2013)
DatascienceTh.com
Datafication

11. The
Application
of
ML
Amazon.com,
netflix.com,
facebook.com

12. Fraud
Detection
https://www.mapr.com/blog/new-­‐age-­‐fraud-­‐analytics-­‐machine-­‐learning-­‐hadoop
Skytree

13. * Personal
Assistants
(Siri)
* Adorable
robots
(Jibo)
* Dinosoir
Toy
(Watson)
* DeepFace
The
Application
of
ML
https://cognitoys.com/#

14. ML
in
Healthcare
Reference:
Grenplum,
vmware,
emc2

15. ML
in
Finance
https://www.mapr.com/blog/new-­‐age-­‐fraud-­‐analytics-­‐machine-­‐learning-­‐hadoop
Skytree

16. ML
at
Yahoo
http://www.slideshare.net/Hadoop_Summit/surge-­‐rise-­‐of-­‐scalable-­‐machine-­‐learning-­‐at-­‐yahoo

17. ML
in
Retail
http://www.slideshare.net/sushantshankar1/ml-­‐meetup-­‐20150130-­‐presentation

18. http://www.analyticsvidhya.com/blog/2015/11/infographic-­‐rise-­‐machine-­‐learning-­‐year-­‐2015/

19. http://www.analyticsvidhya.com/blog/2015/11/infographic-­‐rise-­‐machine-­‐learning-­‐year-­‐2015/

20. http://www.analyticsvidhya.com/blog/2015/11/infographic-­‐rise-­‐machine-­‐learning-­‐year-­‐2015/

21. Oct
http://www.analyticsvidhya.com/blog/2015/11/infographic-­‐rise-­‐machine-­‐learning-­‐year-­‐2015/

22. R,Python,
Weka
Excel
Armadillo
C++
Scilkit
Learn
for
python
Machine
Learning
Tools
Google
TensorFlow
Twitter
Dimsum
Airbnb
AeroSolve
Facebook
Torch
(deep
learning)
Linkedin
FeatureFu
Microsoft
Azure
ML
Google
Prediction
API
Amazon
ML
IBM
Watson
Analytics
Spunk
ML
SAP
Predictive
Analytics
SAS
SPSS
Rapid
Miner

23. Landscape