Anomaly detection on earthquake data using the Trusted Analytics Platform

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Excerpt

Trusted Analytics Platform (TAP) is an open source software, optimized for performance and security, that accelerates the creation of cloud-native applications driven by Big Data Analytics.
This talk uses TAP to detect anomalies in earthquake data and indicate any outliers on real time data.
http://trustedanalytics.github.io/

Description

Trusted Analytics Platform (TAP) is an open source software, optimized for performance and security, that accelerates the creation of cloud-native applications driven by Big Data Analytics.

In this talk we use data from USGS to train models in TAP that can be used to detect outliers when they occur in real-time.This can prove very useful in detecting unusual seismic behaviors and forecasting probable intense earthquakes.
http://trustedanalytics.github.io/

Speaking experience

Anahita conducted multiple knowledge sharing talks internally at Intel Corporation.
Conducted a webinar - https://www.brighttalk.com/webcast/10773/192209
Anahita starts presenting at 19:07 mins

Fred has conducted multiple webinars and workshops internally at Intel and externally. Some links to Fred's webinars - https://www.brighttalk.com/webcast/10773/191311
https://www.brighttalk.com/webcast/10773/192209

Speakers

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    Anahita Bhiwandiwalla

    Intel Corporation

    Biography

    Anahita is a Software Engineer in Intel’s Big Data Solutions group, currently working on the Trusted Analytics Platform. She holds a Master’s degree in Computer Science from Columbia University specialized in Machine Learning. Her main interests are in Machine Learning, Natural Language Processing, Speech Recognition and Data Mining. She is very inclined towards applying various machine learning principles to real world applications and solving challenges that arise as the data scales.

  • Fred Magnotta

    Intel Corporation

    Biography

    Fred Magnotta is a Senior Engineering Manager in Big Data Solutions within the Datacenter Group of Intel. He has been leading the Development effort of the Intel Analytics Toolkit, since its inception. He focuses on Machine Learning and enabling the Data Scientist to discover hidden relationships within their Big Data. He has over a decade of experience in dealing with large scale data, ranging from satellite terrain data to insurance industry mortality analysis. He has lead teams and companies in delivery of software products that literally 10s of millions of people have used. He has degrees in Computer Science, Mathematics and Information systems management.

  • Jp1

    Jitendra Patil

    Intel Corporation

    Biography

    Jitendra Patil is a Software Engineer in Big Data Solutions group at Intel Corporation. He is working on Intel’s open source Trusted Analytics Platform (TAP). Jitendra completed his Masters from University of Southern California in Computer Science. Outside of tech he likes to hike and travel.

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