Virtual MLOps and Kubeflow Meetup - June 2nd

Zoom Link

*https://zoom.us/webinar/register/WN_eLNGmfhBQ0SHlUAxsn_6CQ*

Agenda

• Welcome, Announcements & Housekeeping
• Talk #1: How to Detect Silent Failures in Machine Learning Models -- Wojtek Kuberski
• Talk #2: Running Kaggle’s Titanic Disaster Machine Learning Example with Kubeflow -- Jimmy Guerrero

How to Detect Silent Failures in Machine Learning Models

The objective of the talk is to build an understanding of why and how you need to monitor ML in production. We'll cover the taxonomy of failures based on use cases, data, characteristics of systems they interact with, and human involvement. You'll learn the tools (both statistical and algorithmic) used in dealing with these failures, their applications, and their limits. Fact is, the world changes and data drift and concept drift lead to model degradation and losses to the business. We'll leverage real-life use cases to showcase the importance of ML monitoring in one of the biggest industries. Finally, we'll show you how to address this by monitoring ML performance.

Wojtek Kuberski is a co-founder of NannyML, a startup for monitoring ML models in production. He holds a Master's Degree in AI. He previously founded and grew an AI consultancy. He likes tennis, chess, and food.

Running Kaggle’s Titanic Disaster Machine Learning Example with Kubeflow

Meetup Organizer, Jimmy Guerrero will conduct a short workshop using Kaggle's Titanic Disaster competition.

https://www.kaggle.com/c/titanic

This workshop is for individuals already familiar with machine learning, but new to Kubeflow.

We’ll cover the following topics:

* Overview of Kubeflow
* Installing Kubeflow
* About the Titanic Disaster Example
* Deploying a Notebook Server
* Getting the Titanic Disaster Example Up and Running
* Exploring the Notebook
* Deploying and Running a Pipeline
* Examining the Results