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28:52
Data Science Follow 380 Followers

Systems That Learn

Posted by Stephen Buckley  on  Nov 05, 2017 Posted by Stephen Buckley Follow 0 Followers  on  Nov 05, 2017

Stephen Buckley discusses the Systems That Learn initiative which aims to create systems that learn by combining expertise in Systems and Machine Learning.

47:06
Development Follow 227 Followers

Homoiconicity: It Is What It Is

Posted by Stuart Sierra  on  Oct 31, 2017 Posted by Stuart Sierra Follow 3 Followers  on  Oct 31, 2017

Stuart Sierra demonstrates the power that comes from having the same data representation at all layers: programming language, specification, database, inter-process communication, and user interface.

45:00
Culture & Methods Follow 287 Followers

Data-Driven Coaching - Safely Turning Team Data into Coaching Insights

Posted by Troy Magennis  on  Oct 29, 2017 Posted by Troy Magennis Follow 3 Followers  on  Oct 29, 2017

Troy Magennis shows how to expose data to teams in order for them to retrospect productively, determine if a process experiment is panning out as expected, and to explore process change opportunities.

40:26
Data Science Follow 380 Followers

Machine Learning in Academia and Industry

Posted by Deborah Hanus  on  Oct 10, 2017 Posted by Deborah Hanus Follow 1 Followers  on  Oct 10, 2017

Deborah Hanus discusses some of the challenges that can arise when working with data.

39:23
Data Science Follow 380 Followers

AI-Based Data Extraction

Posted by George Roth  on  May 28, 2017 Posted by George Roth Follow  Followers  on  May 28, 2017

George Roth presents the challenges of data extraction from unstructured content in the context of preparing the data for Data Analytics.

45:00
Data Science Follow 380 Followers

Data Preparation for Data Science: A Field Guide

Posted by Casey Stella  on  Apr 23, 2017 Posted by Casey Stella Follow 0 Followers  on  Apr 23, 2017

Casey Stella presents a utility written with Apache Spark to automate data preparation, discovering missing values, values with skewed distributions and discovering likely errors within data.

46:03
Data Science Follow 380 Followers

Straggler Free Data Processing in Cloud Dataflow

Posted by Eugene Kirpichov  on  Apr 11, 2017 Posted by Eugene Kirpichov Follow 0 Followers  on  Apr 11, 2017

Eugene Kirpichov describes the theory and practice behind Cloud Dataflow's approach to straggler elimination, and the associated non-obvious challenges, benefits, and implications of the technique.

46:03
Architecture & Design Follow 904 Followers

Scaling up Near Real-Time Analytics @Uber &LinkedIn

Posted by Chinmay Soman  on  Mar 30, 2017 Posted by Chinmay Soman Follow 1 Followers , Yi Pan Follow 0 Followers  on  Mar 30, 2017

Chinmay Soman and Yi Pan discuss how Uber and LinkedIn use Apache Samza, Calcite and Pinot along with the analytics platform AthenaX to transform data to make it available for querying in minutes.

45:22
Data Science Follow 380 Followers

Effective Data Pipelines: Data Mngmt from Chaos

Posted by Katharine Jarmul  on  Mar 29, 2017 Posted by Katharine Jarmul Follow 0 Followers  on  Mar 29, 2017

Katharine Jarmul discusses implementation decisions for those looking for a practical recommendation on the "what" and "how" of data automation workflows.

48:49
Data Science Follow 380 Followers

Building Data Pipelines in Python

Posted by Marco Bonzanini  on  Mar 28, 2017 Posted by Marco Bonzanini Follow 0 Followers  on  Mar 28, 2017

Marco Bonzanini discusses the process of building data pipelines and all the steps necessary to prepare data, focusing on data plumbing and going from prototype to production.

40:48
Data Science Follow 380 Followers

Data Science in the Cloud @StitchFix

Posted by Stefan Krawczyk  on  Feb 17, 2017 Posted by Stefan Krawczyk Follow 0 Followers  on  Feb 17, 2017

Stefan Krawczyk discusses how StitchFix used the cloud to enable over 80 data scientists to be productive and have easy access, covering prototyping, algorithms used, keeping schema in sync, etc.

44:06
Data Science Follow 380 Followers

Scaling the Data Infrastructure @Spotify

Posted by Mārtiņš Kalvāns  on  Jan 28, 2017 Posted by Mārtiņš Kalvāns Follow 0 Followers , Matti Pehrs Follow 0 Followers  on  Jan 28, 2017

Mārtiņš Kalvāns and Matti Pehrs overview the Data Infrastructure at Spotify, diving into some of the data infrastructure components, such us Event Delivery, Datamon and Styx.

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