stream:// data science
BERT for dummies — Step by Step Tutorial
DIY Practical guide on Transformer. Hands-on proven PyTorch code for Intent Classification with BERT fine-tuned.
Microsoft scientist accepts Hamburg Prize for Theoretical Physics for quantum contributions - Microsoft Quantum
Dr. Matthias Troyer accepted the 2019 Hamburg Prize for Theoretical Physics – one of the most valuable German prizes in the field – for his groundbreaking contributions to the development of quantum Monte Carlo algorithms.
ML.NET Model Builder Updates
ML.NET is a cross-platform, machine learning framework for .NET developers, and Model Builder is the UI tooling in Visual Studio that uses Automated Machine Le...
SciSharp/TensorFlow.NET
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C#. - SciSharp/TensorFlow.NET
TensorFlow 2.0 on Azure: Fine-tuning BERT for question tagging
Congratulations to the TensorFlow community on the release of TensorFlow 2.0! In this blog, we aim to highlight some of the ways that Azure can streamline the building, training, and deployment of your TensorFlow model.
The Triumph and Tragedy of the Data Scientist
Our minds are continuous, unified and far more powerful than we’ve been taught.
7 start-ups shaking up Ireland’s data science scene
From athlete performance anayltics to predictive intelligence for transport, here are seven of Ireland's leading data science start-ups.
How to Explore Apple Watch Data in R
IoT devices like the Apple Watch present an interesting opportunity for data analysis and visualization. Data Analyst Raul Eulogio looks at a year's worth of calories burned to identify trends in an Apple Watch user's activity.
Global AI Night Keynote April 2019
The Global AI Night is a free evening event organized by local communities all over the world that are passionate about Artificial Intelligence on the Micros...
Can AI help brewers predict how new beer varieties will taste? Carlsberg says “probably” | Transform
Can AI help brewers predict how new beer varieties will taste? Carlsberg says “probably” | Transform Skip to content This site uses cookies for analytics, personalized content and ads. By co
What Machine Learning Needs To Learn Next
Unsupervised learning promises much more intelligent AI than what is available today.
ML.NET - YouTube
ML.NET - YouTube
Microsoft Research Launches Blockchain AI Project -- Visual Studio Magazine
Microsoft Research is unveiling its latest AI initiative, one that aims to help 'democratize AI' with a new open-source framework that will leverage blockchain technology.
Microsoft's Bing team reshape Google's BERT in their own Azure-powered image • DEVCLASS
Researchers’ at Microsoft’s Bing organisation have open sourced a brace of recipes for pre-training and fine-tuning BERT, the NLP model which Google itself open sourced just last November. Google describes BERT as “the first deeply bidirectional, unsupervised language representation, pre-trained only using a plain text corpus” – the corpus in question being Wikipedia. Wikipedia’s collective …
Announcing ML.NET 1.2 and Model Builder updates (Machine Learning for .NET) | .NET Blog
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).
Machine Learning - Create a Machine Learning Prediction System Using AutoML
Machine Learning - Create a Machine Learning Prediction System Using AutoML This site uses cookies for analytics, personalized conte
Announcing ML.NET 1.1 and Model Builder updates (Machine Learning for .NET) | .NET Blog
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.
A First Look at AutoML for the ML.NET Machine Learning Library
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…
Microsoft rolls out AI and robotics toolkit in limited preview
At Build 2019, Microsoft announced a preview program for building intelligent agents with Microsoft AI and Azure tools that can autonomously run physical systems.
Announcing ML.NET 1.0 | .NET Blog
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,
Mathematics for Artificial Intelligence – Linear Algebra
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.
An Overview of ML.Net - ERP Software Blog
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 …
Announcing ML.NET 1.0 RC - Machine Learning for .NET | .NET Blog
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,
Introducing the SparkFun Edge
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.
.NET Blog | Announcing ML.NET 0.11 – Machine Learning for .NET
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,
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Our team is urgently looking for a DevOps Engineer for a direct 6-month contract. The client is based in the Netherlands, and the domain is healthcare. The primary task is to assist with the migration from a local data center to Azure.
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A developer is needed for an American startup that manages the operation and maintenance of residential complexes. This is a new project from scratch with a temporary integration of the old system (Web Forms, no code access).
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Field Complete is a team of passionate, young & fun-loving professionals looking to change the uneffective way that Servicing Industry works on US markets. Field Complete is growing really fast. We are looking for a Back End Developer to build a top-level modern API, ready for high load. Strong expertise with:
Senior Xamarin Developer
You will join a mobile team which is working on two very exciting projects, Sportsbook and Casino. The apps are used by users in the US, where we are working on the regulated markets. We are releasing apps every two weeks. Our apps are generating almost 75% of the company revenue and the user base is growing daily. Technical stack on the project: Xamarin.Forms, MVVM with DI, NewRelic, Azure + App Center etc. Switching to .Net MAUI in the nearest 2-3 months.
Senior .NET Engineer
You will be working in a large US-oriented company that puts as a priority: security, performance, and stability. The candidate will work on pushing a huge number of changes (several thousand per sec) to several thousand clients in a near real-time manner.