QCon.ai Software Development Conference

A software development conference for senior software engineers & architects on the patterns, practices & use cases for applying #AI #machinelearning

[QCon.ai Software Development Conference @QConAI]

We've moved all updates for this account to our main account: @QCon. Follow us there if you want to stay up to date with @QConai and everything related to #AI & #ML.

#MachineLearning #ArtificialIntelligence

[QCon.ai Software Development Conference @QConAI]

If you were interested in #TensorFlow before, now is the time to learn more about it. Google launched a certification program for its #deeplearning framework. Find out how you can be listed in the world-wide Certification Directory. https://t.co/hAkldV9yFu #machinelearning

[QCon.ai Software Development Conference @QConAI]

.@jedberg shares his work with #DeepRacer and DeepLens, talking about some of the basics of #ML used in these projects. The talk includes a DeepRacer in action. @QConAI talk on @infoQ https://t.co/T1Xix5cWcd

[QCon.ai Software Development Conference @QConAI]

Ludwig is a code-free deep learning toolbox originally created and open-sourced by @UberEngineering AI. On this podcast, @w4nderlus7 and Wes discuss the project. #machinelearning #artificialintelligence @infoQ https://t.co/zMJnmevNhE

[QCon.ai Software Development Conference @QConAI]

Jay Kreps, CEO of Confluent and one of the co-creators of Apache Kafka, believes we have to move away from traditional databases toward working with the concepts of events and events streams. Find out more on @InfoQ. #eventstreamprocessing https://t.co/PL65g2YA2X

[QCon.ai Software Development Conference @QConAI]

Learn how @UberEng sped up its neural architecture search #deeplearning optimization process by 9x by developing an algorithm called Generative Teaching Networks. More on @InfoQ https://t.co/qvFgm7mH6V

#machinelearning #artificialintelligence #ai #deeplearning #uber

[QCon.ai Software Development Conference @QConAI]

Amit Nene & Eric Chen discuss the infrastructure built by @Uber for Michelangelo #ML Platform that enables a general approach to Feature Engineering across diverse data systems. @QConai @infoQ: https://t.co/ro3wNB3yli

[QCon.ai Software Development Conference @QConAI]

Jibin Liu presents one of the projects at eBay where the team used RL to improve the crawling of targeted web pages. Includes the basics of RL & why and how to use it to power web crawling. #QConai talk @infoQ: https://t.co/x3VM4CQxaW

[QCon.ai Software Development Conference @QConAI]

If you were interested in #TensorFlow before, now is the time to learn more about it. Google launched a certification program for its #deeplearning framework. Find out how you can be listed in the world-wide Certification Directory. https://t.co/hAkldV9yFu #machinelearning

[QCon.ai Software Development Conference @QConAI]

Sumit Rangwala & @felixgv present the evolution of PYMK’s architecture, focusing on Gaia, a real-time graph computing capability and Venice, an online feature store with scoring capability. @QConai @infoQ: https://t.co/EBcrBzhWef

[QCon.ai Software Development Conference @QConAI]

.@mantasmatelis and @aveshcsingh explain how they debugged DeepHeart, a DNN that detects cardiovascular disease from heart rate data. Find out more in this @QConai talk on @infoQ. #DeepLearning @AppCardiogram https://t.co/nZ8VK4nMLU

[QCon.ai Software Development Conference @QConAI]

.@w4nderlus7 introduces Ludwig, a #deeplearning toolbox that allows to train models and to use them for prediction without the need to write code. Find out more in this @QConai talk @infoQ: https://t.co/ESPbAWhUgw

[QCon.ai Software Development Conference @QConAI]

Prabhat explores 2D and 3D convolutional architectures for solving pattern classification, regression and segmentation problems in high-energy physics, cosmology and climate science. #deeplearning @QConai talk on @infoQ
https://t.co/pUd5i3Szaa

[QCon.ai Software Development Conference @QConAI]

.@liptchinsky introduces wav2letter++, an open-source #deeplearning speech recognition framework, explaining its architecture and design. Find out more in this @QConai on @infoQ: https://t.co/bXSxzBRYr5

[QCon.ai Software Development Conference @QConAI]

Learn all about Ray, a distributed execution framework for emerging #AI applications, Tune, and Modin. Find out more from @pschafhalter in this @QConai talk. @infoQ https://t.co/sgeGEwECfb

[QCon.ai Software Development Conference @QConAI]

.@sravsatuluri discusses how #ML engineering leverages skills from other engineering branches including principles, tools, development and testing practices. @QConai @infoQ: https://t.co/OZM8a3cStP

[QCon.ai Software Development Conference @QConAI]

Looking for a reliable way to stay up to date w/ validated trends from the #machinelearning & #dataengineering space? Check the machine learning collection on @InfoQ (includes free guides). Follow the topic to make sure you don't miss anything. https://t.co/3eT5vkTTKg

[QCon.ai Software Development Conference @QConAI]

Listen to @josh_wills, a software engineer working on data engineering problems at @SlackHQ, discussing the Slack data architecture and how they build and observe their pipelines. Subscribe to the InfoQ Podcast for more. #softwarearchitecture #apm https://t.co/Hhg4SqFjAy

[QCon.ai Software Development Conference @QConAI]

In order to successfully translate the vision and business goals into actionable results, it's important to establish clear performance #metrics. Discover the #DataScience Mindset: Six Principles to Build Healthy Data-Driven Organizations @infoQ https://t.co/KlIAQh1nDt

[QCon.ai Software Development Conference @QConAI]

.@Doctor_Astro discusses the future of transportation with an eye towards how #machinelearning and #AI will help shape the future. @QConai keynote on @infoQ. Transcripts included. https://t.co/OgPSaFHhTz