Machine Learning in Production with Dato Predictive Services
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Presented by Ping Wang.
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Machine Learning in Production with Dato Predictive Services
- 1. Machine Learning in Production Deep Dive into Dato Predictive Services Ping Wang (ping@dato.com) Principal Engineer, Dato Inc. datoinc
- 2. Hello my name is.. Ping Wang Principal Engineer at Dato Was: * Teacher * Cofounder of a startup Loves: * Nature 2
- 3. About Dato!
- 4. Agenda • Overview of Dato Machine Learning Platform • Machine Learning in Production • Dato Predictive Services Sample Intelligent Application Deploy and Serve Monitor and Manage Evaluate and Experiment
- 6. Agenda • Overview of Dato Machine Learning Platform • Machine Learning in Production • Dato Predictive Services Sample Intelligent Application Deploy and Serve Monitor and Manage Evaluate and Experiment 6
- 7. Intelligent Applications powered by MACHINE LEARNING are driving Business innovation
- 8. Intelligent Applications Model Serving Service Consuming Applications Request Response • Book ID: List of recommended books • Image URL: List of similar images • Transaction info: Fraud yes/no • Recommender • Image Search • Fraud Detection
- 9. Machine Learning in Production – The Challenges Build / Train Models Deploy/ Serve Monitor/ Manage Evaluate / Experiment Online Experimentation Monitor / Manage Product Usage Information Deploy Model Batch Retraining
- 10. Agenda • Overview of Dato Machine Learning Platform • Machine Learning in Production • Dato Predictive Services Sample Intelligent Application Deploy and Serve Monitor and Manage Evaluate and Experiment
- 11. Dato Predictive Services Deploy/ Serve Manage /Monitor Evaluate / Experiment Online Experimentation Monitor / Manage Product Usage Information Deploy Model Dato Predictive Services … Models:
- 12. Agenda • Overview of Dato Machine Learning Platform • Machine Learning in Production • Dato Predictive Services Sample Intelligent Application Deploy and Serve Monitor and Manage Evaluate and Experiment
- 13. Demo Sample Intelligent App – Book Recommender
- 14. Dato Predictive Services Deploy/ Serve Manage /Monitor Evaluate / Experiment Online Experimentation Monitor / Manage Product Usage Information Deploy Model Dato Predictive Services … Models:
- 16. Demo Deploying Machine Learning Models with Dato Predictive Services
- 17. Dato Predictive Services Deploy/ Serve Manage /Monitor Evaluate / Experiment Online Experimentation Monitor / Manage Product Usage information Deploy Model Dato Predictive Services … Models:
- 19. Dato Predictive Services Deploy/ Serve Manage /Monitor Evaluate / Experiment Online Experimentation Monitor / Manage Product Usage information Deploy Model Dato Predictive Services … Models:
- 20. Demo Evaluate and Experiment with Models in Production
- 21. Summary Deploy/ Serve Manage /Monitor Evaluate / Experiment Online Experimentation Monitor / Manage Product Usage Information Deploy Model Dato Predictive Services … Models:
- 22. For more information, visit Dato.com Dato ML Platform Overview Predictive Service User Guide Deploy Predictive Service on premises 22 Thank you for joining!
- 23. Questions 23 Thank you for joining!
Editor's Notes
- Hello, welcome to the webinar of "Bring Machine Learning to Production". My name is Ping Wang, I am a Principal Engineer at Dato and the lead for Dato Predictive Serivces product.
- As most of you may already be familiar with, Dato is a Seattle based startup that was founded on May of 2013. Dato is backed by VCs like Madrona, NEA, Opus Capital and Vulcan Capital. We have about 45 employees now and is growing really fast. We have offices in US and Europe.
- We will focus on how to setup DPS in AWS
- We will focus on how to setup DPS in AWS
- We will focus on how to setup DPS in AWS
- We will focus on how to setup DPS in AWS
- We will focus on how to setup DPS in AWS
- We will focus on how to setup DPS in AWS
- We will focus on how to setup DPS in AWS
- Put logo here
- We will focus on how to setup DPS in AWS
- We will focus on how to setup DPS in AWS
- We will focus on how to setup DPS in AWS