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. bit.ly/2VaeuA9#machinelearning
.@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 @infoQbit.ly/2Or5tSU
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. #eventstreamprocessingbit.ly/2PboZjI
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: bit.ly/2EQMWbH
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: bit.ly/2wWCjQ1
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. bit.ly/2VaeuA9#machinelearning
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: bit.ly/2ZjcTbo
.@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: bit.ly/2XDYRkm
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 @infoQbit.ly/2Lzal6j
Learn all about Ray, a distributed execution framework for emerging #AI applications, Tune, and Modin. Find out more from @pschafhalter in this @QConai talk. @infoQbit.ly/2LzIqTK
.@sravsatuluri discusses how #ML engineering leverages skills from other engineering branches including principles, tools, development and testing practices. @QConai@infoQ: bit.ly/2ZsWgKq
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. bit.ly/35uNTR8
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#apmbit.ly/36m7CDA
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 @infoQbit.ly/2vXfCuu