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i n t h e 2 1 s t c e n t u r y
M A C H I N E
L E A R N I N G
ROSS PAMPHILON
One of the greatest and
most uncharted
technological
advancements in the past
decade has been the rise of
machine learning.
In a small scale sense, machine
learning is simply a program or device
that can recognize patterns and
messages from the data in which
they’re collecting and learn from it.
On the larger scale, machine learning
will take data collection and other
important functions that computers are
used for to the next level, and perhaps
one in which we need to manually
operate less and less.
According to tech data group SAS,
machine learning is everywhere
already. Recommendations prompted
by Netflix after you just watched your
favorite show or items you might be
interested in prompted by Amazon
after you’ve made a purchase are
actually some of the earliest forms of
machine learning in our technologically
advanced world. 
Some of the newest advancements in
machine learning are coming in the
forms of recognizing context. This is a
step up from simply recognizing
patterns; this is taking patterns and
recognizing how they could correlate
to a situation. Businesses around the
world have even begun using this in
their customer service practices.
 Forbes recently published an article
discussing how security will play an impact
with machine learning and pointed out a
few interesting points about security as it’s
protected now. From their findings, almost
all malware codes used now to protect
data are only about 2-10% different from
the version it previously upgraded from. 
With newer machine learning, anomalies in
malware data findings can be reported in
order to predict security breaches and not
just when one happens. With so much to
detect – hundreds of thousands of new
malware files arise every day – machine
learning will be crucial.
Machine learning is going to be used in so
many unique forms that it’s difficult to
write about all of the exciting new uses
without writing a book! Over the next few
months, stay tuned to my blog to see my
take on new advancements in technology,
wins and losses in the machine learning
community, and what all of this means for
our daily lives.
f o r m o r e p l e a s e v i s i t :
T H A N K S F O R
R E A D I N G !
ROSS PAMPHILON
ROSSPAMPHILON.NET

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Machine Learning Advances in the 21st Century

  • 1. i n t h e 2 1 s t c e n t u r y M A C H I N E L E A R N I N G ROSS PAMPHILON
  • 2. One of the greatest and most uncharted technological advancements in the past decade has been the rise of machine learning.
  • 3. In a small scale sense, machine learning is simply a program or device that can recognize patterns and messages from the data in which they’re collecting and learn from it. On the larger scale, machine learning will take data collection and other important functions that computers are used for to the next level, and perhaps one in which we need to manually operate less and less.
  • 4. According to tech data group SAS, machine learning is everywhere already. Recommendations prompted by Netflix after you just watched your favorite show or items you might be interested in prompted by Amazon after you’ve made a purchase are actually some of the earliest forms of machine learning in our technologically advanced world. 
  • 5. Some of the newest advancements in machine learning are coming in the forms of recognizing context. This is a step up from simply recognizing patterns; this is taking patterns and recognizing how they could correlate to a situation. Businesses around the world have even begun using this in their customer service practices.
  • 6.  Forbes recently published an article discussing how security will play an impact with machine learning and pointed out a few interesting points about security as it’s protected now. From their findings, almost all malware codes used now to protect data are only about 2-10% different from the version it previously upgraded from. 
  • 7. With newer machine learning, anomalies in malware data findings can be reported in order to predict security breaches and not just when one happens. With so much to detect – hundreds of thousands of new malware files arise every day – machine learning will be crucial.
  • 8. Machine learning is going to be used in so many unique forms that it’s difficult to write about all of the exciting new uses without writing a book! Over the next few months, stay tuned to my blog to see my take on new advancements in technology, wins and losses in the machine learning community, and what all of this means for our daily lives.
  • 9. f o r m o r e p l e a s e v i s i t : T H A N K S F O R R E A D I N G ! ROSS PAMPHILON ROSSPAMPHILON.NET