stream:// data science
July 21, 2019
We are excited to announce ML.NET 1.2 and updates to Model Builder and the CLI. ML.NET is an open-source and cross-platform machine learning framework for .NET developers. ML.NET also includes Model Builder (a simple UI tool for Visual Studio) and the ML.NET CLI (Command-line interface) to make it super easy to build custom Machine Learning (ML) models using Automated Machine Learning (AutoML).
July 07, 2019
June 13, 2019
ML.NET is an open-source and cross-platform machine learning framework (Windows, Linux, macOS) for .NET developers. ML.NET offers Model Builder Model Builder (a simple UI tool for Visual Studio) and CLI to make it super easy to build custom ML Models using AutoML.
May 15, 2019
The Microsoft ML.NET (“machine learning .NET”) is a large library of .NET modules for machine learning. AutoML is a new, associated system that tries different ML.NET algorithms and tel…
May 08, 2019
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
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
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
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
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
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.
Senior .NET Developer
We are looking for Senior .Net Developer to join Kiev team. You will be part of a team of strong, result-oriented professionals developing new generation tasks management, people management, learning platform.
A Hybrid exchange (HEX) is the link that will unite the advantages of a centralized exchange, such as cooperation with large investors and the trust of many users with the advantages of a decentralized exchange. Ping Exchange is a hybrid-decentralized exchange with a specific focus on a user-friendly, trading platform which also provides the ability for peer-to-peer, community barter trades. Trading on the Ping Exchange platform with our broker software is exceptionally fast, once again in line with our global design objectives.
Middle .Net developer
We are looking for Middle .Net developer. Our client is a company that serves the terminals around the world!
We are an Irish product company “OneView Healthcare” and we are looking for backend developer!
Lead Software Engineer at ServiceTitan
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.