Let us help you grow your business, we take care of your Machine Learning Model Building, Optimization and Hosting in the Cloud of your Choice. #MachineLearning
Thank you IEEE Women In Engineering (WIE), IEEE Toronto and Ryerson CS Graduate Council for inviting and giving me the opportunity to talk about deploying and scaling #MachineLearning models in the #Cloud using #DevOps. #Docker, #Kubernetes, #microservices.
Thanks to @RyeSU@IEEEToronto@IEEEWiEToronto for hosting this evant, with special thanks to Ryerson Computer Science Graduate Student Union for organizing and inviting me. https://t.co/3HrCPAuk40
We recently released HiPlot, a lightweight interactive visualization tool to help AI researchers work with high-dimensional data. We’re excited to announce that HiPlot visualizations can now be added to @Streamlit data apps. Learn more here: https://t.co/wpfShbrF8a
Today we’re announcing free private repositories with unlimited collaborators for teams with GitHub Free, and reducing the price of our paid Team plan to $4 per user/month. All of the core GitHub features are now free for everyone.
Learn more: https://t.co/fQ3r2ABtTR
Maximizing posterior probabilities of the Gaussian mixture formed from Voronoi tessellations gives compact clusters. A pre-print of "Probabilistic Partitive Partitioning" (PPP) @ https://t.co/IMqRjiy9Sw
Will be talking about enabling machine learning in the cloud, in the fog and at the egde for IoT. #machinelearning#IoT#5G#EdgeComputing
https://t.co/bCSp8pFpAT