Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Unleash the Power of ML with AWS | AWS Summit Tel Aviv 2019

205 views

Published on

How can we use Machine Learning to drive innovation?In this session, we present how to democratize ML and give every team the ability to use ML for innovation.We’ll demonstrate how we can use Sagemaker’s built in algorithms and distributed training to experiment more often and iterate faster. We’ll build a prediction of flights delay and integrate it to the product to increase the efficiency of the ground processes. In addition, we present the use of Amazon Forecast for predicting the number of flights that might be delayed in the next few days.

  • Be the first to comment

Unleash the Power of ML with AWS | AWS Summit Tel Aviv 2019

  1. 1. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Unleash the Power of ML with AWS Orit Alul Solutions Architect Amazon Web Services D E V 3 0 4 @oritalul
  2. 2. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  3. 3. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
  4. 4. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. AWSome Airlines architecture FrontendData Microservices Common Interfaces Machine Learning Services Serverless Scheduler Data lake and Analytics Flights Resources 31 2 4 5
  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
  6. 6. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Full Disclosure: I’m not a Data Scientist
  7. 7. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  8. 8. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Put machine learning in the hands of every developer Our mission at AWS
  9. 9. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  10. 10. © 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
  11. 11. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  12. 12. © 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
  13. 13. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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. 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
  15. 15. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  16. 16. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Human learning
  17. 17. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  18. 18. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 1 2 3 Amazon SageMaker: Build, Train, and Deploy ML Models at Scale
  19. 19. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Get The Data:
  20. 20. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  21. 21. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker: Build, Train, and Deploy ML Models at Scale
  22. 22. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  23. 23. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. 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
  24. 24. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker: Build, Train, and Deploy ML Models at Scale
  25. 25. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  26. 26. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker: Build, Train, and Deploy ML Models at Scale
  27. 27. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  28. 28. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker: Build, Train, and Deploy ML Models at Scale
  29. 29. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. © 2018, Amazon Web Services, Inc. or Its Affiliates. All rights reserved.
  30. 30. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  31. 31. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Amazon SageMaker: Build, Train, and Deploy ML Models at Scale
  32. 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. 33. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved. Number of Delays in an Airport
  34. 34. © 2019, Amazon Web Services, Inc. or its affiliates. All rights reserved.
  35. 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. 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. 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

×