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25:32

Validation Methodology of Large Unstructured Unsupervised Learning Systems

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

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

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, 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

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

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

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

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

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.

26:58

Creating Customer-Centric Products Using Big Data

Posted by Kriti Sharma  on  Jul 15, 2016

Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.

54:56

Server-Less Design Patterns for the Enterprise with AWS Lambda

Posted by Tim Wagner  on  Jul 08, 2016

Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.

37:06

Predicting the Future: Surprising Revelations trom Truly Big Data

Posted by Pushpraj Shukla  on  May 24, 2016

Pushpraj Shukla discusses how Microsoft Bing predicts the future based on aggregate human behavior using one of the largest scale data sets, and recent progress in large scale deep learnt models.

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