Feb. 12, 2024


Description

In this presentation, we will cover the fundamentals of Data Science and how an Automated Machine Learning (ML) platform like DataRobot can accelerate the development and operationalization of data science projects. Together, we will solve a predictive maintenance use-case where we will build a model to predict which components on an oil-rig will need replacement. We will start with a raw dataset, and go through exploration, model development, and selection resulting in a fully deployed model all within about 10 minutes. Next, we will touch on some other common ML approaches like computer vision and time-series forecasting for corrosion detection and demand forecasting. Finally, we will leave time for Q&A.


Featured Speakers

Speaker: Oleg Zarakhani
Speaker Oleg Zarakhani

Senior Data Scientist with over 8 years of experience currently supporting DataRobot’s strategic manufacturing and oil and gas customers. The DataRobot AI Platform is an open, complete AI lifecycle platform leveraging machine learning that has broad interoperability, and end-to-end capabilities for Experimentation and Production and can be deployed on-premises or in …

Senior Data Scientist with over 8 years of experience currently supporting DataRobot’s strategic manufacturing and oil and gas customers. The DataRobot AI Platform is an open, complete AI lifecycle platform leveraging machine learning that has broad interoperability, and end-to-end capabilities for Experimentation and Production and can be deployed on-premises or in any cloud infrastructure

Full Description



Organizer

SPE GCS Data Analytics Study Group


Date and Time

Mon, Feb. 12, 2024

11 a.m. - noon
(GMT-0600) US/Central

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Location

Virtual



Group(s): Data Analytics