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49:07
AI, ML & Data Engineering Follow 990 Followers

R for AI developers

Posted by David Smith  on  Jul 11, 2018 Posted by David Smith Follow 0 Followers  on  Jul 11, 2018

David Smith makes the case for R as a platform for developing models for intelligent applications, offering a few examples with details in the accompanying interactive code lab.

48:17
AI, ML & Data Engineering Follow 990 Followers

Google Dataflow Codelab

Posted by Martin Gorner  on  Jul 09, 2018 Posted by Martin Gorner Follow 0 Followers  on  Jul 09, 2018

Martin Gorner introduces Google Dataflow Codelab, and demos the tools and techniques they are using for data science.

37:59
Architecture & Design Follow 2401 Followers

Inside a Self-driving Uber

Posted by Matt Ranney  on  Jun 27, 2018 1 Posted by Matt Ranney Follow 14 Followers  on  Jun 27, 2018 1

Matt Ranney discusses the software components that come together to make a self-driving Uber drive itself, and how they test new software before it is deployed to the fleet.

33:49
AI, ML & Data Engineering Follow 990 Followers

Streaming SQL to Unify Batch & Stream Processing w/ Apache Flink @Uber

Posted by Fabian Hueske  on  Jun 19, 2018 Posted by Fabian Hueske Follow 0 Followers , Shuyi Chen Follow 0 Followers  on  Jun 19, 2018

Shuyi Chen and Fabian Hueske explore SQL’s role in the world of streaming data and its implementation in Apache Flink and covering streaming semantics, event time, and incremental results.

23:39
AI, ML & Data Engineering Follow 990 Followers

Simplifying ML Workflows with Apache Beam

Posted by Tyler Akidau  on  Jun 19, 2018 Posted by Tyler Akidau Follow 1 Followers  on  Jun 19, 2018

Tyler Akidau discusses how Apache Beam is simplifying pre- and post-processing for ML pipelines.

49:00
AI, ML & Data Engineering Follow 990 Followers

Gimel: PayPal’s Analytics Data Platform

Posted by Deepak Chandramouli  on  Jun 13, 2018 Posted by Deepak Chandramouli Follow 0 Followers  on  Jun 13, 2018

Deepak Chandramouli introduces and demos Gimel, a unified analytics data platform which provides access to any storage through a single unified data API and SQL.

46:55
AI, ML & Data Engineering Follow 990 Followers

Understanding Software System Behavior with ML and Time Series Data

Posted by David Andrzejewski  on  Jun 13, 2018 Posted by David Andrzejewski Follow 2 Followers  on  Jun 13, 2018

David Andrzejewski discusses how time series datasets can be combined with ML techniques in order to aid in the understanding of system behaviors in order to improve performance and uptime.

38:12
AI, ML & Data Engineering Follow 990 Followers

Analyzing & Preventing Unconscious Bias in Machine Learning

Posted by Rachel Thomas  on  Jun 12, 2018 Posted by Rachel Thomas Follow 1 Followers  on  Jun 12, 2018

Rachel Thomas keynotes on three case studies, attempting to diagnose bias, identify some sources, and discusses what it takes to avoid it.

46:41
AI, ML & Data Engineering Follow 990 Followers

Understanding ML/DL Models using Interactive Visualization Techniques

Posted by Chakri Cherukuri  on  Jun 06, 2018 Posted by Chakri Cherukuri Follow 1 Followers  on  Jun 06, 2018

Chakri Cherukuri discusses how to use visualization techniques to better understand machine learning and deep learning models.

38:37
AI, ML & Data Engineering Follow 990 Followers

Interpretable Machine Learning Products

Posted by Mike Lee Williams  on  Jun 06, 2018 Posted by Mike Lee Williams Follow 2 Followers  on  Jun 06, 2018

Mike Lee Williams discusses how interpretability can make deep neural networks models easier to understand, and describes LIME, an OS tool that can be used to explore what ML classifiers are doing.

49:01
AI, ML & Data Engineering Follow 990 Followers

End-to-End ML without a Data Scientist

Posted by Holden Karau  on  May 30, 2018 Posted by Holden Karau Follow 3 Followers  on  May 30, 2018

Holden Karau discusses how to train models, and how to serve them, including basic validation techniques, A/B tests, and the importance of keeping models up-to-date.

42:26
AI, ML & Data Engineering Follow 990 Followers

Deep Learning for Science

Posted by Prabhat  on  May 30, 2018 Posted by Prabhat Follow 0 Followers  on  May 30, 2018

Prabhat discusses machine learning's impact on climatology, astronomy, cosmology, neuroscience, genomics, and high-energy physics, and the future of AI in powering scientific discoveries.

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