How Machine Learning Works for Business
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Transcript of How Machine Learning Works for Business
![Page 1: How Machine Learning Works for Business](https://reader034.fdocuments.us/reader034/viewer/2022042723/587137c51a28abf0568b6191/html5/thumbnails/1.jpg)
Building expertise on demand.
HOW MACHINE LEARNING WORKS FOR BUSINESS
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TODAY’S GOAL
Leave with a firm grasp on how machine learningcan be a tool and an opportunity for your business.
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OUR JOURNEY
● Context● Choosing the right tool● Putting it to work● The hurdles
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WHAT IS MACHINE LEARNING?
A brief introduction.
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SOFTWARE IS EATING THE WORLD
Everything is becoming code.
Software automates, simplifies, andaccelerates business.
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BUT...
Someone needs to write the code/logic.
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THE TRADITIONAL WAY
Handwritten logic.
If / Then / Else
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THE PROBLEM
Complex situations require complex2 software logic.
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THE SOLUTION
Trained logic using historical data.
Model
tripID hasEggs eggsBought milkBought
1 1 6 1
2 0 0 2
3 1 6 1
4 1 8 1
5 0 0 1
6 1 6 1
7 0 0 3
0011001101011101
0101100111010
11001001101
Stored as a mathematical
model.
Finds patterns in the data.
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WHAT IT LOOKS LIKE
console.aws.amazon.com/machinelearning/home?region=us-east-1#/datasources
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ML IS EATING THE SOFTWARE
All applications are becoming “smart” — with unprecedented complexity in logic.
Machine learning automates, simplifies, andaccelerates software.
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MURKY LANDSCAPE
Artificial Intelligence
Machine Understanding (?)
Pattern recognitionClassificationPredictionCan only do one thingBrute-force approach
Autonomous decisionsUniversally applicableIntuition approach
Google DeepMind
Amazon Machine Learning
Natural language processingComputer visionOptimization
IBM Watson
Classic learning
Multi-tiereddeep learning
neural networks
Deep learning neural network
Explicit ProgrammingHandwritten
Machine Learning
log
ic c
om
ple
xity
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CHOOSINGTHE RIGHT TOOL
Exploring the major machine learning architectures.
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No “hidden” layers
“CLASSIC” LEARNING
playground.tensorflow.org
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Fast, simple predictions.
Product recommenderPrice prediction
Behavior prediction
Typically, features are predefined.
“CLASSIC” LEARNING
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1-2 “hidden” layers
“SHALLOW” LEARNING
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Deep learning has eclipsed.
“SHALLOW” LEARNING
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>2 “hidden” layers
“DEEP” LEARNING
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Complex, contextual understanding.
Computer visionNatural language processingUncovering hidden insights
Often, features are learned directly from the data.
“DEEP” LEARNING
Many Different Types
● Deep Belief (DBN)● Convolutional (CNN)● Recurrent (RNN)
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StructuredUnstructured
Reinforcement
TRAINING
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FINDING A CONTEXT FOR MACHINE LEARNING
How to wrap your head around this massive subject.
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Expertise on demand.
Train your ideal decision-making processes and tasks,then execute them anytime, anywhere, at any scale.
PUT IT TO WORK
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TOOL OR OPPORTUNITY?
How can you create expertise on demandfor you or your customers?
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Expertise on demand.
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UNIVERSAL EXCELLENCE
A proven path to business success is staffing “the best.”
And, imagine your “best” continually getting better every day.
● Hiring expert● SEO expert● PR expert● Social media expert● Researching expert
And more...
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EXPERT MARKETER
Consistently presents the right message, to the right person, at the right time
● Understands your customers better than any high-priced agency ever could
● Dynamically personalizes each individual experience
● Accurately predicts audience behavior
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EXPERT FORECASTER
● Revenue● Inventory● Taxes● Expenses● Staffing
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EXPERT WRITER
From SEO meta tags to novels.
● Can be trained to any “voice”● Deep topic research and digestion● Instantly learn from world experts● Accurate fact checks● No more hiring writers● No more typos
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EXPERT ADVISOR
Imagine what you could accomplish with your own personal JARVIS.
He’s closer than you think.
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Expertise on demand.
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WHY WE LOVE COMPUTERS
Any time, any where, any scale.
No vacations, no sleep, no sick days.
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THE HURDLES
Exploring the common sticking points.
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IT’S GETTING EASIER EVERY DAY
● Purpose-built APIs● Pre-trained models● Open source projects
But...
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We’re headed into a world, where we can know anything, anytime.
So the quality of the questions you ask determines your success.
“Wrong questions get wrong answers.”
~GregoryThe Seventh Son (2014)
QUESTIONS MATTER
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FEED THE BEAST
Build your data stockpile.
Historically we don’t save data, because we didn’t look at it.
Now we can learn even more from it — without looking at it.
So hoard as much as you can.
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RECAP
● Train complex software logic● Deploy expertise on-demand● Ask empowering questions● Hoard your data
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GOAL CHECK
Feel like you have a firm grasp on how machine learning can be a tool and an opportunity for your
business?
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THOUGHTS?
Upsides & downsides
to “expertise on demand?”
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UNLEASH YOUR BUSINESSEMBRACE EXPONENTIAL
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