[Solved] Microsoft Azure: Alternative for database.SqlQuery() from Entity Framework 6.x for Entity Framework Core

In case of Azure Web Jobs or Azure Functions  when You try to find  alternative for database.SqlQuery<T>() from Entity Framework  for Entity Framework Core (equivalent doesn’t exists ) You can use presented below solution  in C#. Solution tested and works very good in practice on production environments. Let’s say that we want use below code […]

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August 9th, 2019

HCA: Predicting Patient Outcomes in Real-time with H2O

As the leading healthcare provider with 169 hostpials, 116 surgury centers, over 200,000 employees,and 26 mllion patient encounters per year, HCA is always looking for ways to improve patient care and manage costs. #ai #machinelearning #ai #deeplearning #ml 

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AI & Capital One: Preventing Downtime with Mobile Transaction Forecasing and Anomaly Detection

Mobile bankng is a key application for Capital One serving millions of customers per day. Predicting infrastructure issues before they become bottlenecks and impact customer transactions is a key goal of the technology operations group. Effective prediction requires has to scale across large datasets and take into account a variety of time series factors that […]

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TensorFlow Extended (TFX): Machine Learning Pipelines and Model Understanding (Google I/O’19)

This talk will focus on creating a production machine learning pipeline using TFX. Using TFX developers can implement machine learning pipelines capable of processing large datasets for both modeling and inference. In addition to data wrangling and feature engineering over large datasets, TFX enables detailed model analysis and versioning. The talk will focus on implementing […]

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June 28th, 2019

Google: The Anatomy of a Production-Scale Continuously-Training Machine Learning Platform

Creating and maintaining a platform for reliably producing and deploying machine learning models requires careful orchestration of many components—-a learner for generating models based on training data, modules for analyzing and validating both data as well as models, and finally infrastructure for serving models in production. This becomes particularly challenging when data changes over time […]

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June 28th, 2019

prof. Stanislaw Ulam i jego prace nad bomba atomowa oraz wodowora

Ulam studiował flzykę pod kierunkiem największych naukowców swoich czasow. Uczeni, którzy zgromadzili się podczas II wojny swiatowej w Los Alamos, należeli do grona czołowych postaci fizyki wspolczesnej. Hans Bethe, Niels Bohr, Enrico Fermi Richard Feynman, Ernest Lawrence, J. Robert Oppenheimer i wielu innych tworzyli zespół, który pod względem potencjalu intelektualnego nie miał sobie równych w […]

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March 3rd, 2019

Deep Learning in practice in colorization old videos/movies/photos (black and white) in Real Time

Deep Learning in practice in colorization old videos/movies/photos (black and white)  in Real Time – as sample for colorization is using movie from 1935 – “Smierc Jozefa Pilsudskiego”. On left side You can see original movie, on right side colorized movie by AI. System coloring in Real Time. System is running on my personal AI server […]

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