stream:// data science
January 12, 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.
December 28, 2018
Machine Learning in NET (ML NET) full tutorial
December 13, 2018
The Quantum Architecture and Computation group launched Q#, our quantum computing programming language, a year ago on December 11th, 2017. Q# 0.1 was the result of a lot of hard work from a small, dedicated team of developers, researchers, and program managers. We had made the decision to build a domain-specific language for quantum computing about six months before we launched, so we were on a very tight schedule. We were lucky to have a great team of people who all pitched in and did what needed to be done so that we could meet our extremely aggressive timetable.
December 11, 2018
Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI KDnuggets Subscribe to KDnuggets News | &
December 10, 2018
Computer brains need models that can be exposed to datasets, trained, tested and enriched over time as they learn what’s right, what’s wrong and ultimately what is altogether culturally and ethically appropriate or not.
December 05, 2018
A first-hand look from the .NET engineering teams
November 28, 2018
This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as probabilistic graphical models and deterministic inference methods, and to emphasize a modern Bayesian perspective. It is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. This hard cover book has 738 pages in full colour, and there are 431 graded exercises (with solutions available below). Extensive support is provided for course instructors.
November 12, 2018
We’re excited to announce today the release of ML.NET 0.7 – the latest release of the cross-platform and open source machine learning framework for .NET developers (ML.NET 0.1 was released at //Build 2018). This release focuses on enabling better support for recommendation based ML tasks, enabling anomaly detection, enhancing the customizability of the machine learning pipelines, enabling using ML.NET in x86 apps, and more.
October 31, 2018
ML.NET is a free, cross-platform, and open source machine learning framework for .NET developers. It is also an extensible platform that powers Microsoft ser...
October 06, 2018
Microsoft open-sources Infer.NET, an AI engine that helps power Azure cloud services - SiliconANGLE
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.
Transfer the software from SharePoint 2010 to SharePoint Online.
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.