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Unleash the Power of ML with AWS
Orit Alul
Solutions Architect
Amazon Web Services
D E V 3 0 4
@oritalul
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AWSome Airlines architecture
FrontendData Microservices Common
Interfaces
Machine Learning Services
Serverless Scheduler Data lake and Analytics
Flights
Resources
31
2
4
5
5. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What to expect from this session?
Predictive analytics for Awesome Airlines:
Ø Predict if a flight will be delayed or not
Ø Predict how many delays we’re going to have in an airport
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Full Disclosure:
I’m not a Data Scientist
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How?
• From 0 to a tuned flights delay prediction:
o Overview: ML on AWS
o Get the data and explore it
o Choose the algorithm
o Obtaining the intelligence (= train)
o Become smarter (= tune)
o Predict
** Bonus: Predict using Amazon Forecast
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Put machine learning in the
hands of every developer
Our mission at AWS
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The Amazon ML stack: Broadest & deepest set of capabilities
AI SERVICES
Easily add intelligence to applications without machine learning skills
Vision | Documents | Speech | Language | Chatbots | Forecasting | Recommendations
ML SERVICES
Build, Train, and Deploy machine learning models fast and at scale
Data labeling | Pre-built algorithms & notebooks | One-click training and deployment
ML FRAMEWORKS &
INFRASTRUCTURE
Flexibility & choice, highest-performing infrastructure
Support for ML frameworks | Compute options purpose-built for ML
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M L F R A M E W O R K S &
I N F R A S T R U C T U R E
The Amazon ML Stack: Broadest & Deepest Set of Capabilities
A I S E R V I C E S
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D
C O M P R E H E N D
M E D I C A L
L E XR E K O G N I T I O N
V I D E O
Vision Speech Chatbots
A M A Z O N S A G E M A K E R
B U I L D T R A I N
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization ( N E O )
One-click deployment & hosting
M L S E R V I C E S -
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Models without training data (REINFORCEMENT LEARNING)
Algorithms & models ( A W S M A R K E T P L A C E )
Language Forecasting Recommendations
NEW NEWNEW
NEW
NEW
NEWNEW
NEW
NEW
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Amazon Textract
K E Y F E A T U R E S
Optical Character
Recognition (OCR)
Key-value pair
detection
Adjustable confidence
thresholds
Table
detection
Bounding box
coordinates
No ML experience
required
Extract text and data from virtually any document
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Amazon Forecast
K E Y F E A T U R E S
Consider
multiple
time-series
at once
Automatic
machine
learning
Visualize forecasts
& import results
into business apps
Evaluate model
accuracy
The picture can't be displayed.
Privacy &
encryption
Bring existing
algorithms from
Amazon
SageMaker
Improve forecasting accuracy by up to 50% at 1/10th the cost
Schedule
forecasts
and training
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Amazon Personalize
K E Y F E A T U R E S
Context-aware
Recommendations
Automated
machine learning
Bring existing algorithms
from Amazon SageMaker
Continuous
learning
Data is kept private
and encrypted
Improve customer experiences with personalization and recommendations
14. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
M L F R A M E W O R K S &
I N F R A S T R U C T U R E
The Amazon ML Stack: Broadest & Deepest Set of Capabilities
A I S E R V I C E S
R E K O G N I T I O N
I M A G E
P O L L Y T R A N S C R I B E T R A N S L A T E C O M P R E H E N D
C O M P R E H E N D
M E D I C A L
L E XR E K O G N I T I O N
V I D E O
Vision Speech Chatbots
A M A Z O N S A G E M A K E R
B U I L D T R A I N
F O R E C A S TT E X T R A C T P E R S O N A L I Z E
D E P L O Y
Pre-built algorithms & notebooks
Data labeling (G R O U N D T R U T H )
One-click model training & tuning
Optimization ( N E O )
One-click deployment & hosting
M L S E R V I C E S -
F r a m e w o r k s I n t e r f a c e s I n f r a s t r u c t u r e
E C 2 P 3
& P 3 d n
E C 2 C 5 F P G A s G R E E N G R A S S E L A S T I C
I N F E R E N C E
Models without training data (REINFORCEMENT LEARNING)
Algorithms & models ( A W S M A R K E T P L A C E )
Language Forecasting Recommendations
NEW NEWNEW
NEW
NEW
NEWNEW
NEW
NEW
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Human learning
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T R A I N D E P L O Y
B U I L D
Build, train, tune, and host your own models
T U N E
Amazon SageMaker
Pre-built
notebooks for
common problems
Built-in, high
performance
algorithms
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1
2
3
Amazon SageMaker:
Build, Train, and Deploy ML Models at Scale
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Get The Data:
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Amazon SageMaker:
Build, Train, and Deploy ML Models at Scale
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Start With a Working Example
https://github.com/awslabs/amazon-Sagemaker-examples
/blob/master/introduction_to_applying_machine_learning/
xgboost_customer_churn/xgboost_customer_churn.ipynb
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Choose The Algorithm: XGBoost
XGBoost (eXtreme Gradient Boosting) is a popular and efficient
open-source implementation of the gradient boosted trees
algorithm. Gradient boosting is a supervised learning algorithm that
attempts to accurately predict a target variable by combining the
estimates of a set of simpler, weaker models…
https://docs.aws.amazon.com/sagemaker/latest/dg/xgboost.html
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Amazon SageMaker:
Build, Train, and Deploy ML Models at Scale
25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
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Amazon SageMaker:
Build, Train, and Deploy ML Models at Scale
27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon SageMaker:
Build, Train, and Deploy ML Models at Scale
29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
© 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon SageMaker:
Build, Train, and Deploy ML Models at Scale
32. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Amazon Forecast
K E Y F E A T U R E S
Consider
multiple
time-series
at once
Automatic
machine
learning
Visualize forecasts
& import results
into business apps
Evaluate model
accuracy
The picture can't be displayed.
Privacy &
encryption
Bring existing
algorithms from
Amazon
SageMaker
Improve forecasting accuracy by up to 50% at 1/10th the cost
Schedule
forecasts
and training
33. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Number of Delays in an Airport
34. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
35. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
Summary
Predictive analytics for Awesome Airlines:
ü Predict if a flight will be delayed or not
ü Predict how many delays we’re going to have in an airport
36. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
What’s next
FrontendData Microservices Common
Interfaces
Machine Learning Services
Serverless Scheduler Data lake and Analytics
Flights
Resources
31
2
4
5
37. Thank you!
© 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
http://bit.ly/2SJ6ItO
Orit Alul
Solutions Architect
Amazon Web Services
@oritalul