[Webinar]Kubeflow, TensorFlow, TFX, PyTorch, GPU, Spark ML, AmazonSageMaker

Title

[Webinar] Kubeflow, TensorFlow Extended (TFX), Airflow, GPU, MLflow, Spark ML, TensorFlow AI, Kubernetes, Kafka, Scikit-Learn, XGBoost, Amazon SageMaker

**Luigi Patruno is a Data Scientist and the Founder of MLinProduction.com!

Description

Hands-on Learning with PipelineAI using Kubeflow, TensorFlow Extended (TFX), Airflow, GPU, MLflow, Spark ML, TensorFlow AI, Kubernetes, SageMaker, Kafka, Scikit-Learn, XGBoost, Amazon SageMaker

Agenda

1. Meetup Update

2. Special Guest: Luigi Patruno is a Data Scientist and the Founder of MLinProduction.com

Talk Title

Validating ML Models on Historical Datasets, Luigi Patruno @ MLinProduction.com

Abstract

Validating machine learning models on historical datasets is the first step in assessing predictive performance. While offline tests demonstrate how a model performs according to evaluation metrics like accuracy or RMSE, these tests can't establish causality between models and user outcomes. When your goal is to use ML to drive specific user behavior, like increasing click-thru rates or engagement, we need online validation. But the ability to validate models in an online manner depends on having the infrastructure to support different model rollout strategies such as blue/green deployments and canary deployments. In this talk we’ll introduce different model rollout strategies and demonstrate how to implement them using Amazon SageMaker.

Speaker Bio

Luigi Patruno is a Data Scientist and the Founder of MLinProduction.com. He's currently the Director of Data Science at 2U, where he leads a team of data scientists and ML engineers in developing machine learning models and infrastructure to predict student success outcomes. Luigi founded MLinProduction.com to educate data scientists, ML engineers, and ML product managers about best practices for running machine learning systems in production. As a consultant for Fortune 500s and start-ups, Luigi helps companies utilize data science to create competitive advantages. He's taught graduate level courses in Statistics and Big Data Engineering and holds a Masters in Computer Science and a BS in Mathematics.

Date/Time

9-10am US Pacific Time (Third Monday of Every Month)

Advanced Kubeflow + TensorFlow + PyTorch + Amazon SageMaker Meetup

https://www.meetup.com/Advanced-Kubeflow/

Zoom

https://zoom.us/j/690414331Webinar ID: 690 414 331

Phone

+1 646 558 8656 (US Toll) or +1 408 638 0968 (US Toll)

Additional Full Day Workshop

https://www.eventbrite.com/e/full-day-workshop-kubeflow-gpu-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-tickets-63362929227

Related Links

Meetup: https://meetup.com/Advanced-Kubeflow/

GitHub Repo: https://github.com/PipelineAI/

O'Reilly Book: https://datascienceonaws.com

YouTube: https://youtube.pipeline.ai

Slideshare: https://slideshare.pipeline.ai

Support: https://support.pipeline.ai

Monthly Workshop: https://www.eventbrite.com/e/full-day-workshop-kubeflow-gpu-kerastensorflow-20-tf-extended-tfx-kubernetes-pytorch-xgboost-tickets-63362929227

Host or Publisher Chris Fregly