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Kalman Folding - Extracting Models from Data One Observation at a Time

Offered By: GOTO Conferences via YouTube

Tags

Data Modeling Courses Data Analysis Courses Software Engineering Courses Statistical Inference Courses Data-Driven Decision Making Courses

Course Description

Overview

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Explore the concept of Kalman Folding in this 47-minute conference talk from YOW! 2017. Dive into the process of extracting models from data one observation at a time with Brian Beckman, Principal Software Engineer at Amazon. Learn how this powerful technique can be applied to various fields of software engineering and data analysis. Gain insights into the practical applications of Kalman Folding and its potential impact on improving data-driven decision-making processes. Discover how this approach can enhance your ability to interpret and utilize complex datasets in real-world scenarios. Enhance your understanding of advanced data modeling techniques and their relevance in modern software development and engineering practices.

Syllabus

Kalman Folding: Extracting Models from Data One Observation at a Time • Brian Beckman • YOW! 2017


Taught by

GOTO Conferences

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