stream:// data science


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,

Announcing ML.NET 0.10 – 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. 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.

Getting started with FsLab - FsLab

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

GitHub: The top 10 programming languages for machine learning

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.

Announcing ML.NET 0.9 – 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.

Hot Vacancies

.NET Developer

American startup, .NET

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).

.NET Backend Developer

Field Complete, .NET

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

DraftKings, Mobile

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

DraftKings, .NET

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.

Middle strong .NET developer

SoftServe, .NET

Our customer is an American company that develops software for businesses to help manage their networks, systems, and information technology infrastructure. The company provides purpose-built products for IT professionals, MSPs, and DevOps pros.