machine learning: understanding the invisible force changing our world
TRANSCRIPT
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Understanding the Invisible Force Changing Our World
Machine Learning
KEN TABOR @KenTabor!
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“I think that AI will lead to a low cost and better quality life for
millions of people. Like electricity, it’s a possibility to build a wonderful society.” Andrew Ng
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"We were early in machine learning and are already seeing significant
dividends coming out. Many of the XXXXXXXX companies are already
using this technology and are planning to use it
even more."Larry Page
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Machine learning drives … product search
ranking, product and deals recommendations,
merchandising placements, fraud
detection, translations, and much more.
Jeff Bezos
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XXX XXXXXXX laid out a development plan on
Thursday to become the world leader in A.I. by 2030, aiming to surpass its rivals technologically and build a domestic industry worth almost
$150 billion.State Council
of China
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“Artificial intelligence is the future, not only for
XXXXXX, but for all humankind. … Whoever becomes the leader in this sphere will become the ruler of the world.” Vladimir Putin
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WHAT?
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What it’s NotML is something different.
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It’s NotBig data
“Copy your stats into the lake tonight.”
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It’s NotData science
“Any local users old enough to buy?”
SELECT * from users WHERE age BETWEEN 35 AND 55 AND country = 'UK';
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It’s NotA rules engine
if (currentProductId === A_BOOK_ID) { RenderBookProduct(SIMILAR_BOOKS); }
“Show her related book titles.”
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Machine LearningAlgorithms (code recipes)
That can learn behavior
Without writing more code
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Machine LearningThrough pattern matching
By classifying things
Offering % predictions
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Using data to create knowledge
# $
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DataStructured Unstructured
{ "user": { "name": "Ken Tabor", "title": "Principal Software Architect", "company": "Sabre", "contact": { "email": "[email protected]", "phone": "8675309", "twitter": "@kentabor" }, "eatsChocolate": true } }
%
&
'
(
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Learning how?1. Supervised learning
2. Reinforcement learning
3. Unsupervised learning
)*+
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1. SupervisedYou feed the algorithm data
You tag the data with labels
Algorithm creates a model of understanding (learns)
$
)
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BALL
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Can we trick our customers into helping us?
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User clicks are training
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Design a micro-interaction encouraging training
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2. ReinforcementYou have a trained ML model
You let it run
Give it a reality-check function
$,*
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function IsEnRouteAndNotCrashing()
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function HasWonGame()
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3. UnsupervisedYou feed the algorithm data
It discovers hidden patterns
Clusters based on similarity of features
-
+
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Orange 10 Brown 4 Yellow 9 Blue 12 Green 11 Red 8 Total 54
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Orange 10/14 Brown 4/4 Yellow 9/6 Blue 12/12 Green 11/8 Red 8/11 Total 54/55
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Orange 10/14/15 Brown 4/4/1 Yellow 9/6/9 Blue 12/12/8 Green 11/8/11 Red 8/11/10 Total 54/55/54
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“I could do that!”You don’t scale
Humans are error prone
People get bored
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QuestionsHow much do I regret eating all of the M&Ms?
Do people consume brighter colors faster?Ship more brown because dye is cheaper?
Production glitch - expected a repeatable amount?Why do the red ones taste better?
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Why Now?
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Increase in compute power & data storage
./
01
your phone
your laptop
companies
the cloud
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Technology
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Why are they just giving it away
for free?
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Good will
Show of force
Talent recruitment
I’m guessing
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Are they not afraid of my
competition?
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NO
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Data
Compute cycles
Brain power
They have more
The smart get smarter
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Why Now?
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Interest
Success
Visibility Build
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SO WHAT?
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Business: Big
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GM and Lyft announced the joint venture on Monday, which also
includes a $500 million investment by GM in Lyft.
January 4, 2016
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IBM will spend $240 million over 10 years to
develop an artificial intelligence research lab with the Massachusetts
Institute of Technology…
September 6, 2017
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Databricks, a big data analytics platform … announced that it has raised a $140 million
Series D round…
August 22, 2017
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DataType: Text
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Neural Machine Translation
November 15, 2016
English/French German Spanish
Portuguese
Chinese Japanese
Korean Turkish
Total of eight language pairs to/from English and French.
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2010 - 2015 Credit card transactions +48% Debit card transactions +46% Electronic transactions +45% Annual transactions +34.2bill
July 27, 2017
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Quarterly Earnings Stories 5,300 public companies
2013 - wrote 318 stories (6%) 65 (human) reporters
2015 - 3,700 stories (70%) AI system
April 14, 2017
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DataType: Image
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…Google will now show you a silent six-second clip…decided to use some of its machine learning smarts to enable this feature…
algorithm actually analyzes the whole video and then decides which six-second clip to pick.
August 18, 2017
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Assisting Pathologists in Detecting Cancer with Deep Learning…prediction heatmaps
produced by the algorithm had improved so much that the localization score (FROC) for the
algorithm reached 89%, which significantly exceeded the score of 73% for a pathologist
with no time constraint.March 3, 2017
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DEMOAmazon Rekognition
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NOW WHAT?
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Human-centered Design
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“People like you also shopped for…”
Auto-generate Personas
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Don’t give me 200 results. Offer the 3 best choices.
Personalized Data
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Like a robot Like a person
Humanize AI with Awesome UI
“flat” “skeuomorphic”
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Position Your Career
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Be curious
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“Knows machine learning”
“Experienced with Adobe CS2 Suite”
is the new
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Find the data (representing users)
Machines lack empathy and ethical frameworks for passing humane judgements on humans.
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Racist AI?
Mindfully consider training data
Unconscious bias is tough
Make diversity a priority
Choose inclusion by default
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Momma’s Gotta Die Tonight Body Count
1992
See more:
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Design for Zero-D
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Past computer/human interface (CHI)
Command Line Windows AR/VR
1D 2D 3D
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Voice recognition
Face recognition
Touch-screen secondary
API response refinement
Future of CHI is 0D?
Chatbot scripts
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Trusting corporate ML algorithms
Representing your brand well
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Explain nuances
Surface assumptions
Confirm safe context
“Why is your list different than mine?”
Zero-D UX
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THEN WHAT?
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“If you feel safe in the area you’re working in, you’re not working in the right area.” - David Bowie
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Ken’s next move
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Invest another year into being a learning machine
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Find a problem
Discover data
Code like a caveman
Test solutionsDaydream
2- 3☼
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Referenceshttp://economictimes.indiatimes.com/opinion/interviews/ai-can-make-an-impact-like-electricity-andrew-ng/articleshow/
60227045.cms https://abc.xyz/investor/founders-letters/2016/index.html
https://www.amazon.com/p/feature/z6o9g6sysxur57t https://www.nytimes.com/2017/07/20/business/china-artificial-
intelligence.html https://www.rt.com/news/401731-ai-rule-world-putin/
https://www.theverge.com/2016/1/4/10706250/gm-lyft-driverless-cars-ride-sharing-investment
https://www.bloomberg.com/news/articles/2017-09-07/ibm-to-invest-240-million-to-develop-ai-research-lab-with-mit https://techcrunch.com/2017/08/22/big-data-analytics-platform-databricks-raises-140m-series-d-round-led-by-
andreessen-horowitz/ https://www.cuinsight.com/everyone-talking-machine-
learning.html https://hbr.org/2017/04/how-companies-are-already-using-ai
https://techcrunch.com/2017/08/18/google-brings-six-second-video-previews-to-mobile-search/
https://research.googleblog.com/2017/03/assisting-pathologists-in-detecting.html
https://console.aws.amazon.com/rekognition/home?region=us-east-1#/label-detection
http://www.mobygames.com/images/shots/l/588727-pc-dos-included-game-dos-screenshot-file-list-of-donkey-bas.png
http://i1-news.softpedia-static.com/images/news2/Microsoft-Windows-Turns-29-Happy-Birthday-to-the-World-s-Number-1-
OS-465507-8.jpg https://www.americaninno.com/wp-content/uploads/
wpallimport/files/1/2013/09/dezeen_ikea-launch_augmented-reality_2014_ss2_pan.jpg
https://www.youtube.com/watch?v=h48hGHALFC4 https://unsplash.com/
http://www.KenTabor.com