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Machine Learning in NET (ML NET) full tutorial

Machine Learning in NET (ML NET) full tutorial

A Year of Q#

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.

Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI KDnuggets   Subscribe to KDnuggets News  |       &

Microsoft Puts More Brain-Power Into Machine Learning For Azure Cloud

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.

Announcing ML.NET 0.8 – Machine Learning for .NET

A first-hand look from the .NET engineering teams

Christopher Bishop at Microsoft Research

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.

Announcing ML.NET 0.7 (Machine Learning .NET)

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.

Machine learning with ML.NET - BRK3196

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...

Microsoft open-sources Infer.NET, an AI engine that helps power Azure cloud services - SiliconANGLE

Microsoft open-sources Infer.NET, an AI engine that helps power Azure cloud services - SiliconANGLE

Microsoft on Twitter

“This is no ordinary cat video. 🐈This one explains #quantumcomputing in less than 4 minutes. Watch meow: https://t.co/si7U1rbH5H”

Machine Learning with Oracle

Introduction - 0:00 Overview Machine Learning in Oracle - 1:31 Machine Learning theory - 6:04 Demonstration: preparation and building the model - 11:52 Demon...

Microsoft Builds Quantum Strategy Around Q#

There is no way to predict which quantum system will garner system share in the next years, but most large chip, system, and software companies are

Spoken Language Identification in Video Indexer | Блог | Microsoft Azure

We are excited to share that Video Indexer has a new capability, Spoken Language Identification (LID)!

Microsoft’s AI for Earth Innovation Grant gives data scientists access to AI tools

Microsoft is teaming up with National Geographic to launch the AI for Earth Innovation Grant, an initiative that’ll provide researchers access to AI development tools.

The most important unanswered questions of 2018 in Artificial Intelligence (AI) and Machine Learning (ML) - Dataconomy

Here is what a recent whitepaper by Dataiku reveals about Artificial intelligence and machine learning emphasising on the role of data scientists. Let’s find out. (This is the first part of an article series based on a whitepaper by Dataiku)   The year 2018 was supposed to be the one

Machine Learning with ML.NET – Solving Real-World Classification Problem (Wine Quality) | Rubik's Code

Code that accompanies this article can be downloaded here. In the first article of machine learning in ML.NET saga, we explored basics of machine learning and we got our first look at Microsoft’s…

The animated guide to artificial intelligence (Explanimators: Episode 1)

An easy guide to everything AI. More from Microsoft Story Labs: microsoft.com/storylabs. Subscribe to Microsoft on YouTube here: https://aka.ms/SubscribeToYo...

ML.NET 0.2 Adds Clustering, New Examples

Microsoft's ML.NET is a multi-platform machine learning framework that runs on .NET Core. First debuted in May during Build, its second release adds several new features and a separate GitHub repo demonstrating how to put the framework to use.

Demystifying Machine and Deep Learning for Developers : Build 2018

To build the next set of personalized and engaging applications, more and more developers are adding ML to their applications. In this session, you'll learn ...

'NEW SESSION' Introducing ML.NET

ML.NET is aimed at providing a first class experience for Machine Learning in .NET. Using ML.NET, .NET developers can develop and infuse custom AI into exist...

Introducing ML.NET: Cross-platform, Proven and Open Source Machine Learning Framework

Today at //Build 2018, we are excited to announce the preview of ML.NET, a cross-platform, open source machine learning framework. ML.NET will allow .NET developers to develop their own models and infuse custom ML into their applications without prior expertise in developing or tuning machine learning models.

Introducing public beta of Datalore – web application for machine learning | Company Blog

Introducing public beta of Datalore – web application for machine learning | Company Blog Company Blog Skip to content Home Twitter Facebook Google ← JetBrains Toolbox 2017.3 adds GoLand IDE to the tool

TensorFlow for .NET update

“Scalar, vector, matrix and tensor lovers can now rejoice in the 1.6.0-pre1 release of TensorFlow for .NET, please take it for a spin and report issues: https://t.co/aKe4KLAhik”

Custom Vision Service | Microsoft Azure

The custom vision API from Microsoft Azure learns to recognize specific content in imagery and becomes smarter with training and time. Read on to learn more.

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.