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55:57
Development Follow 684 Followers

Fast Log Analysis by Automatically Parsing Heterogeneous Log

Posted by Biplob Debnath  on  Sep 24, 2018 Posted by Biplob Debnath Follow 0 Followers , Will Dennis Follow 0 Followers  on  Sep 24, 2018

Debnath & Dennis present a solution inspired by the unsupervised machine learning techniques for automatically generating RegEx rules from a set of logs with no (or minimal) human involvement.

25:59
Development Follow 684 Followers

Teaching a Machine to Code

Posted by Samir Talwar  on  Sep 22, 2018 3 Posted by Samir Talwar Follow 0 Followers  on  Sep 22, 2018 3

Samir Talwar discusses different techniques, architectures and optimizations tried in the process of teaching a machine to write code using neural networks, simulations and everything in between.

50:03
AI, ML & Data Engineering Follow 991 Followers

How Machines Help Humans Root Case Issues @ Netflix

Posted by Seth Katz  on  Aug 23, 2018 Posted by Seth Katz Follow 0 Followers  on  Aug 23, 2018

Seth Katz discusses ways to build tools designed to enhance the cognitive ability of humans through automated analysis to speed root cause detection in distributed systems.

33:20
AI, ML & Data Engineering Follow 991 Followers

Engineering Systems for Real-Time Predictions @DoorDash

Posted by Raghav Ramesh  on  Aug 22, 2018 Posted by Raghav Ramesh Follow 0 Followers  on  Aug 22, 2018

Raghav Ramesh presents DoorDash’s thoughts on how to structure ML systems in production to enable robust and wide-scale deployment of ML, and shares best practices in designing engineering tooling.

41:12
AI, ML & Data Engineering Follow 991 Followers

Deep Learning for Application Performance Optimization

Posted by Zoran Sevarac  on  Aug 22, 2018 Posted by Zoran Sevarac Follow 0 Followers  on  Aug 22, 2018

Zoran Sevarac presents his experience and best practice for autonomous, continuous application performance tuning using deep learning.

41:29
AI, ML & Data Engineering Follow 991 Followers

Neural Networks across Space and Time

Posted by Dave Snowdon  on  Jun 29, 2018 Posted by Dave Snowdon Follow 0 Followers  on  Jun 29, 2018

Dave Snowdon starts with a brief introduction to deep neural networks, why they are important and how they work. He covers 2 of the most important deep neural architectures: convolutional & recurrent.

23:39
AI, ML & Data Engineering Follow 991 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.

46:55
AI, ML & Data Engineering Follow 991 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 991 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.

39:22
AI, ML & Data Engineering Follow 991 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.

46:41
AI, ML & Data Engineering Follow 991 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 991 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.

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