BT
Older rss
33:49
AI, ML & Data Engineering Follow 760 Followers

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

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

Shuyi Chen, 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 760 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 760 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 760 Followers

Understanding Software System Behavior with ML and Time Series Data

Posted by David Andrzejewski  on  Jun 13, 2018 Posted by David Andrzejewski Follow 0 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 760 Followers

Analyzing & Preventing Unconscious Bias in Machine Learning

Posted by Rachel Thomas  on  Jun 12, 2018 Posted by Rachel Thomas Follow 0 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 760 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 760 Followers

Interpretable Machine Learning Products

Posted by Mike Lee Williams  on  Jun 06, 2018 Posted by Mike Lee Williams Follow 0 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 760 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 760 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.

38:53
AI, ML & Data Engineering Follow 760 Followers

Liquidity Modeling in Real Estate Using Survival Analysis

Posted by Xinlu Huang  on  May 29, 2018 Posted by Xinlu Huang Follow 0 Followers , David Lundgren Follow 0 Followers  on  May 29, 2018

Xinlu Huang and David Lundgren discuss hazard and survival modeling, metrics, and data censoring, describing how Opendoor uses these models to estimate holding times for homes and mitigate risk.

49:58
AI, ML & Data Engineering Follow 760 Followers

Data Pipelines for Real-Time Fraud Prevention at Scale

Posted by Mikhail Kourjanski  on  May 23, 2018 Posted by Mikhail Kourjanski Follow 1 Followers  on  May 23, 2018

Mikhail Kourjanski discusses the architecture of PayPal’s data service which combines a Big Data approach with providing data in real time for decision making in fraud detection.

37:05
AI, ML & Data Engineering Follow 760 Followers

pDB: Scalable Prediction Infrastructure with Precision and Provenance

Posted by Balaji Rengarajan  on  May 23, 2018 Posted by Balaji Rengarajan Follow 0 Followers  on  May 23, 2018

Balaji Rengarajan describes the platform built on the Celect’s pDB framework, providing multiple use cases such as online personalization, document classification, and geospatial anomaly detection.

Login to InfoQ to interact with what matters most to you.


Recover your password...

Follow

Follow your favorite topics and editors

Quick overview of most important highlights in the industry and on the site.

Like

More signal, less noise

Build your own feed by choosing topics you want to read about and editors you want to hear from.

Notifications

Stay up-to-date

Set up your notifications and don't miss out on content that matters to you

BT