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Development Technology

Beyond Distribution Podcast (55) Building a Successful AI Strategy

Organizations are increasingly dependent on technologies that streamline and automate operations, and AI allows channel partners to deliver in both areas for their clients. That is just one of the benefits of artificial intelligence that are discussed with a panel of industry experts in this episode of Beyond Distribution, which was recorded live at GTDC […]

Development Technology

Golang UK Conference 2016 – Michael Bironneau – Real time machine learning in Go

The smart energy sector is poised to deliver huge savings through efficiency improvements and ancillary services such as Open Energi’s Dynamic Demand. This talk, aimed at Go programmers who do not have much experience with Machine Learning (ML), will start by introducing common idioms used by well known machine learning frameworks like scikit-learn and Matlab’s […]

Development Technology

(Panel) The Current State of Spatial Computing in Enterprise

Extended reality or spatial computing is maturing, becoming increasingly capable and affordable while making an impact in enterprise operations today. Though XR has successfully graduated from experimental to effective work tool, the technology has yet to move from early adoption to everyday, organization-wide use. This session takes a big picture look at the enterprise XR […]

Development Technology

YOLOv3 in the CLOUD : Install and Train Custom Object Detector (FREE GPU)

Learn how get YOLOv3 object detection running in the cloud with Google Colab. Walk-through the steps to run yolov3 with darknet detections in the cloud and how to train your very own custom object detector. ALL WITH FREE GPU! This tutorial covers it all! #yolov3 #objectdetection #cloud THE GOOGLE COLAB NOTEBOOK: https://colab.research.google.com/drive/1Mh2HP_Mfxoao6qNFbhfV3u28tG8jAVGk This video cover: […]

Development Technology

Andrew Therriault – Learning in Cycles: Implementing Sustainable Machine Learning Models…

PyData New York City 2017 Slides: https://github.com/therriault/slides/blob/master/Learning%20in%20Cycles_%20Implementing%20Sustainable%20Machine%20Learning%20Models%20in%20Production%20-%20November%202017.pdf Sustainable machine learning models are built for cyclical applications which generate their own training data—think ad targeting, recommendation engines, compliance audits, or fundraising. We’ll discuss practical approaches and considerations for data scientists, analysts, and engineers working on these kinds of models in the wild. 00:00 Welcome! 00:10 Help […]