InfoQ Homepage QCon Software Development Conference Content on InfoQ
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Deep Learning with Audio Signals: Prepare, Process, Design, Expect
Keunwoo Choi introduces what the audio/music research societies have discovered while playing with deep learning when it comes to audio classification and regression.
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DeepRacer and DeepLens, Machine Learning for Fun! (and Profit?)
Jeremy Edberg shares his work with DeepRacer and DeepLens, talking about some of the basics of ML used in these projects and showing a DeepRacer in action.
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Building and Scaling a High-Performance Culture
Randy Shoup discusses team Autonomy, Trust and Pragmatism in the product development process.
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Policing the Capital Markets with ML
Cliff Click talks about SCORE, a solution for doing Trade Surveillance using H2O, Machine Learning, and a whole lot of domain expertise and data munging.
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Build Node.js APIs Using Serverless
Simona Cotin talks about how to migrate an API of an existing app to Azure Functions, and how to use Visual Studio Code and the Azure Functions extension to speed up work.
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Why Should We Care about Technology Ethics?
Catherine Flick looks at the newly updated ACM Code of Ethics and talks about the ways to think about our job through a lens of ethics & responsibility, and what we can do to deal with ethical issues.
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An Engineer's Guide to a Good Night's Sleep
Nicky Wrightson gives some practical insight into how to handle failure in today's more complex distributed microservice systems.
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Crossing the River by Feeling the Stones
Simon Wardley examines the issue of situational awareness, explains how it applies to technology. He explores how we can map our environment, identify opportunities to exploit, learn to play the game.
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Improving Developer Productivity with Visual Studio Intellisense
Allison Buchholtz-Au and Shengyu Fu discuss how PM, engineering, and data science came together to build Visual Studio IntelliCode, which delivers context-aware code completion suggestions.
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On a Deep Journey towards Five Nines
Aashish Sheshadri discusses how PayPal applies Seq2Seq networks to forecasting CPU and memory metrics at scale.
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Document Digitization: Rethinking OCR with Machine Learning
Nischal Harohalli Padmanabha outlines the problems faced building DL networks for document process at omni:us, limitations, the evolution of team structures, engineering practices, and other topics.
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From Robot Simulation to the Real World
Louise Poubel overviews Gazebo's architecture with examples of projects using Gazebo, describing how to bridge virtual robots to their physical counterparts.
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