Machine Learning and Artificial Intelligence; Our future relationship with the machines

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description

The difference between Machine Learning and Artificial Intelligence. A discussion on the various future scenarios of working with Big Data and how human can compliment machines to solve more complex challenges

transcript

Machine Learning / Artificial Intelligence

OUR FUTURE WITH THE MACHINE

2/27/2014ALEX POON

ALEX POON

• VP Engineering @ Outbrain (JUST QUIT)

• Co-founder of Visual Revenue (Acquired by Outbrain 2013)

• Love scalable systems, machine learning; Fascinated by Robots

• Used to build signal intelligence software for Unmanned Aerial Vehicle (UAV)

• Play Zerg in Starcraft II

ARTIFICIAL INTELLIGENCE

MACHINE LEARNING

INPUT

OUTPUT

BLACK BOXTRAINING

DATA

ARTIFICIAL INTELLIGENCEThe INTELLIGENCE exhibited by machines or software, and the

branch of computer science that develops machines and software

with INTELLIGENCE.

A branch of artificial intelligence, concerns the construction and

study of systems that can LEARN from data

MACHINE LEARNING

SOURCE WIKIPEDIA

automatic

inte

llige

nce

manual

Human Only

Human + Data Informed

Human + Machine Assisted

Machine Only

ACTION

RE

AS

ON

ING

alg

orit

hm

ic

http://x.ai/2014/01/23/our-future-relationship-with-robots/

Intelligence

Machine

Learning

automatic

inte

llige

nce

manual

Human Only

Human + Data Informed

Human + Machine Assisted

Machine Only

ACTION

RE

AS

ON

ING

alg

orit

hm

ic

http://x.ai/2014/01/23/our-future-relationship-with-robots/

What about the future?

HUMAN ONLY MACHINE ONLY

FUTURE: A little bit of both

More Data Sources

Natural Languages

Working with Machines

H Only

H + Data Informed

H + M Assisted

M Only

No

wH

Only

H + Data Informed

H + M Assisted

M Only

Fu

ture

Working with Machines

Analyze

Decide

Analyze

Input

Analyze

Input

Decide Decide

1 32INPUT INPUT INPUT

Analyze

Decide

Analyze

Input

Analyze

Input

Decide Decide

1 32INPUT INPUT INPUT

Working with Machines

SUMMARY

• Strong Machine Learning techniques != Intelligence

• In the near future, more data, sensors, natural language input

• Machine and human cooperate to solve complex problems

• Human judgments can improve algorithms when done right

• We can partner with machines if we understand them

ALEX POON

Excited about Machine Learning, NLP, and Data Engineering?

Look me up!

alexpoonnyc@gmail.com

@alexpoon06