stream:// data science


May 08, 2019
  462
At Build 2019, Microsoft announced a preview program for building intelligent agents with Microsoft AI and Azure tools that can autonomously run physical systems.
May 06, 2019
  589
We are excited to announce the release of ML.NET 1.0 today.  ML.NET is a free, cross-platform and open source machine learning framework designed to bring the power of machine learning (ML) into .NET applications. https://github.com/dotnet/machinelearning Star Get Started @ http://dot.net/ml ML.NET allows you to train,
May 04, 2019
  339
The most usual question that I get on the meetups and conferences is “How much math should I know to get into the field?”. This was the question that I asked myself long ago when I started my journey through this universe.
April 26, 2019
  446
ML.NET makes machine learning accessible to the .NET developer community. Up until now, the machine learning space has been dominated by other languages such as Python and C++. With ML.NET, .NET developers get access to a whole host of machine learning techniques for solving various problems. ML.NET makes integrating intelligent systems into an existing codebase …
April 10, 2019
  468
ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis,
March 09, 2019
  569
For the last month I’ve been carrying around a small square micro-controller board in my laptop bag, and I’ve been dying to tell people more about it. But I haven’t been able to until today. Announced a few minutes ago from the stage of this year’s TensorFlow Dev Summit in Santa Clara, CA, by Pete Warden, part of the TensorFlow Lite team at Google, say “Hello” to the SparkFun Edge.
March 09, 2019
  574
ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models for common scenarios like Sentiment Analysis,
February 14, 2019
  504
ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. Using ML.NET, developers can leverage their existing tools and skillsets to develop and infuse custom AI into their applications by creating custom machine learning models. ML.NET allows you to create and use machine learning models targeting common tasks such as classification, regression, clustering, ranking, recommendations and anomaly detection. It also supports the broader open source ecosystem by proving integration with popular deep-learning frameworks like TensorFlow and interoperability through ONNX. Some common use cases of ML.NET are scenarios like Sentiment Analysis, Recommendations, Image Classification, Sales Forecast, etc. Please see our samples for more scenarios.
January 30, 2019
  555
FsLab is a curated collection of open source F# packages for data-science. Together with your editor or Jupyter notebook these packages allow you to rapidly develop scalable, high-performance analytics and visualizations using succinct, type-safe, production-ready code. Download
January 28, 2019
  516
Online code repository GitHub has pulled together the 10 most popular programming languages used for machine learning hosted on its service, and, while Python tops the list, there's a few surprises.

Hot Vacancies

Middle .Net developer

Levi9
.NET Core

We are looking for Middle .Net developer. Our client is a company that serves the terminals around the world!

Backend developer

Healthcare
.NET Core

We are an Irish product company “OneView Healthcare” and we are looking for backend developer!

Lead Software Engineer at ServiceTitan

ServiceTitan
.NET Core

ServiceTitan is a leading mobile, cloud-based software platform that connects home service companies with value-added products and services. In 2018 the company raised $165 million in Series D funding and became a unicorn startup. 60% of the working time of an Engineer will be devoted to the development, 40% - to the work on requirements, mentorship, and supervision. You will work on new features and products.

SharePoint Developer

.NET Core

Transfer the software from SharePoint 2010 to SharePoint Online.

.NET Developer

AllStars-IT
.NET Core

Our client – Varonis Systems is the leader in unstructured and semi-structured data governance software, which is any human generated data that is within a company’s environment. Their goal is to protect companies most sensitive information from insider threats and cyber attacks. They do this by allowing organizations to analyze, secure, manage, and migrate their volumes of unstructured data.They value passion, creativity, desire to learn new complex technical areas, agility and accountability. Join a team that is set up to innovate, create and lead from the ground up.