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AI, ML & Data Engineering Follow 870 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.

AI, ML & Data Engineering Follow 870 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.

AI, ML & Data Engineering Follow 870 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.

AI, ML & Data Engineering Follow 870 Followers

Models in Minutes not Months: AI as Microservices

Posted by Sarah Aerni  on  Jun 07, 2018 Posted by Sarah Aerni Follow 0 Followers  on  Jun 07, 2018

Sarah Aerni talks about how Salesforce built an AI platform that scales to thousands of customers.

AI, ML & Data Engineering Follow 870 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.

AI, ML & Data Engineering Follow 870 Followers

Machine Intelligence at Google Scale

Posted by Guillaume LaForge  on  Jun 01, 2018 Posted by Guillaume LaForge Follow 1 Followers  on  Jun 01, 2018

Guillaume LaForge presents pre-trained ML services such as Cloud Vision API and Speech API that works without any training, introducing Cloud AutoML.

AI, ML & Data Engineering Follow 870 Followers

Real-Time Data Analysis and ML for Fraud Prevention

Posted by Mikhail Kourjanski  on  May 31, 2018 Posted by Mikhail Kourjanski Follow 1 Followers  on  May 31, 2018

Mikhail Kourjanski addresses the architectural approach towards the PayPal internally built real-time service platform, which delivers performance and quality of decisions.

AI, ML & Data Engineering Follow 870 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.

AI, ML & Data Engineering Follow 870 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.

AI, ML & Data Engineering Follow 870 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.

AI, ML & Data Engineering Follow 870 Followers

The Black Swan of Perfectly Interpretable Models

Posted by Mayukh Bhaowal  on  May 22, 2018 Posted by Mayukh Bhaowal Follow 0 Followers , Leah McGuire Follow 0 Followers  on  May 22, 2018

Mayukh Bhaowal, Leah McGuire discuss how Salesforce Einstein made ML more transparent and less of a black box, and how they managed to drive wider adoption of ML.

AI, ML & Data Engineering Follow 870 Followers

Counting is Hard: Probabilistic Algorithms for View Counting at Reddit

Posted by Krishnan Chandra  on  May 15, 2018 Posted by Krishnan Chandra Follow 0 Followers  on  May 15, 2018

Krishnan Chandra explains the challenges of building a view counting system at scale, and how Reddit used probabilistic counting algorithms to make scaling easier.

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