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Generative Hyperloop Design - Managing Massively Scaled Simulations for Demand Modeling

Offered By: Databricks via YouTube

Tags

Data Pipelines Courses Data Analysis Courses Machine Learning Courses Cloud Computing Courses Parallel Computing Courses MLFlow Courses

Course Description

Overview

Explore the innovative Hyperloop mass transportation system through this 26-minute conference talk from Databricks. Dive into the challenges and solutions of managing massively scaled simulations focused on demand modeling for Virgin Hyperloop One. Learn how a large-scale, configurable simulation framework addresses key technical and business questions crucial for realizing this ambitious project. Discover the power of cloud computing in executing multiple simulations in parallel and at-scale. Examine data pipelines for gathering demand and socio-economic data, training and comparing demand prediction models, and analyzing massive simulation output data. Understand the management and execution of pipelines, including data provenance and element traceability. Gain insights into comparing reports from large batch simulations using MLflow. Witness a video demonstration of the simulation and test result comparisons, showcasing the impact of different demand prediction models for prospective Hyperloop systems.

Syllabus

Introduction
Hyperloop
Machine Intelligence Analytics
Sample Data Flow
Hyperloop Simulation Flow
Flexible and Fast
Cloud Technologies
Analytics Platform
ML Flow
Data Flow
Demo
Conclusions


Taught by

Databricks

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