ODSC West 2019 Warm-Up: Machine Learning

ODSC West 2019 Warm-Up: Machine Learning

Presented By ODSC West 2019
ODSC West 2019
ODSC West 2019

Crissman Loomis, AI Engineer, Preferred Networks

Since his mathematics degree, Crissman has devoted himself to the study of languages, including Spanish, Javascript, German, Python, and Japanese. Previously, Crissman worked on open source projects for automation of game playing systems, including MMORPGs, web-based games, and Pokemon. After finding the limits of rule-based systems, he worked on Deep Learning programs at Preferred Networks, the company that created the AI Python framework Chainer.


Bill Heffelfinger, Principal Solutions Architect, CloudFactory

Bill has been building and leading global teams of exceptional technical and functional subject matter experts for more than 3 decades. He worked as Technical Executive Sponsor with select customers like the CERN, the National Ignition Facility at Lawrence Livermore National Labs, and several large financial institutions while at NetApp and Nimble Storage. Now Bill works as Principal Solutions Architect at CloudFactory.

Presentation Description

Optuna: A Define-by-Run Hyperparameter Optimization Framework

In this workshop, we introduce Optuna, a next-generation hyperparameter optimization framework with new design-criteria: (1) define-by-run API that allows users to concisely construct dynamic, nested, or conditional search spaces, (2) efficient implementation of both sampling and early stopping strategies, and (3) easy-to-setup, versatile architecture that can be deployed for various purposes, ranging from scalable distributed computing to lightweight experiment conducted in a local laptop machine. Our software is available under the MIT license.


Introducing the Data Production Line for Machine Learning

Data operations are the new AI factory model. Data is your raw material, and you have to move it through multiple processing and review steps before it’s ready for machine learning (ML). Developing high-performing ML models requires a strategic combination of people, tools, and process working together to structure massive data with high quality. In this segment, CloudFactory will share best practices for your data production line.

Presentation Curriculum

Optuna: A Define-by-Run Hyperparameter Optimization Framework
14:31
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Introducing the Data Production Line for Machine Learning
15:45
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