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21:27

Uses of Big Data by a Non-Profit Engaged in Conducting Events Funded in Part by Third Party Sponsors

Posted by Thomas Grilk  on  Dec 28, 2016 Posted by Thomas Grilk  on  Dec 28, 2016

Thomas Grilk discusses how a non-profit can efficiently use data from customers/athletes in its marketing and sponsorship activities while respecting the privacy and confidentiality of its customers.

31:03

TensorFlow: A Flexible, Scalable & Portable System

Posted by Rajat Monga  on  Dec 17, 2016 Posted by Rajat Monga  on  Dec 17, 2016

Rajat Monga talks about why Google built TensorFlow, an open source software library for numerical computation using data flow graphs, and what were some of the technical challenges in building it.

50:31

Visual Rules of the Road for Big Data Practitioners

Posted by David Fisher  on  Dec 16, 2016 Posted by David Fisher  on  Dec 16, 2016

David Fisher discusses via example how to build a data navigation language into visualizations, providing an intuitive user experience via the mechanism of subtle visual cuing.

25:32

Validation Methodology of Large Unstructured Unsupervised Learning Systems

Posted by Lawrence Chernin  on  Nov 26, 2016 Posted by Lawrence Chernin  on  Nov 26, 2016

Lawrence Chernin describes best practices and validation methods used to deal with large unstructured data, including a suite of unit tests covering the implementations of algorithmic equations.

34:47

How Predictive Analytics Boosts the Customer Experience at the Georgia Aquarium

Posted by Beach Clark  on  Nov 20, 2016 Posted by Beach Clark  on  Nov 20, 2016

Beach Clark talks about the technological and cultural challenges of turning data science into a vital part of the business model at Georgia Aquarium.

43:27

Overview of Artificial Intelligence and Its Use in Analyzing “Voice of Cancer Patients”

Posted by Alok Aggarwal  on  Nov 20, 2016 Posted by Alok Aggarwal  on  Nov 20, 2016

Alok Aggarwal overviews Artificial Intelligence and discusses a use case, “Voice of Cancer Patients” that uses ML and NLP algorithms to analyze unstructured text written by cancer patients.

01:18:01

Solving Business Problems with Data Science

Posted by Thomas Levi  on  Nov 13, 2016 Posted by Thomas Levi Ali Jalali Alok Agarwal Todd Townsend KRS Murthy  on  Nov 13, 2016

The panelists discuss how Data Science can help solve various problems for business.

41:39

Hydrator: Open Source, Code-Free Data Pipelines

Posted by Jonathan Gray  on  Oct 23, 2016 Posted by Jonathan Gray  on  Oct 23, 2016

Jonathan Gray introduces Hydrator, an open source framework and user interface for creating data lakes for building and managing data pipelines on Spark, MapReduce, Spark Streaming and Tigon.

38:53

Developing a Machine Learning Based Predictive Analytics Engine for Big Data Analytics

Posted by Ali Jalali  on  Oct 16, 2016 Posted by Ali Jalali  on  Oct 16, 2016

Ali Jalali presents how to develop a machine learning predictive analytics engine for big data analytics.

59:07

Exploring Wikipedia with Apache Spark: A Live Coding Demo

Posted by Sameer Farooqui  on  Aug 23, 2016 Posted by Sameer Farooqui  on  Aug 23, 2016

Sameer Farooqui demos connecting to the live stream of Wikipedia edits, building a dashboard showing what’s happening with Wikipedia datasets and how people are using them in real time.

42:50

Applying Big Data

Posted by Graeme Seaton  on  Aug 07, 2016 Posted by Graeme Seaton  on  Aug 07, 2016

Graeme Seaton discusses the drivers behind Big Data initiatives and how to approach them using the vast amounts of data available.

33:35

Apache Beam: The Case for Unifying Streaming APIs

Posted by Andrew Psaltis  on  Jul 30, 2016 Posted by Andrew Psaltis  on  Jul 30, 2016

Andrew Psaltis talks about Apache Beam, which aims to provide a unified stream processing model for defining and executing complex data processing, data ingestion and integration workflows.

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