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Announcing ML.NET 1.0 RC – Machine Learning for .NET

Reading time3 min
Views1.3K

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, Recommendation, Image Classification and more!.


Today we’re announcing the ML.NET 1.0 RC (Release Candidate) (version 1.0.0-preview) which is the last preview release before releasing the final ML.NET 1.0 RTM in 2019 Q2 calendar year.


Soon we will be ending the first main milestone of a great journey in the open that started on May 2018 when releasing ML.NET 0.1 as open source. Since then we’ve been releasing monthly, 12 preview releases so far, as shown in the roadmap below:



In this release (ML.NET 1.0 RC) we have initially concluded our main API changes. For the next sprint we are focusing on improving documentation and samples and addressing major critical issues if needed.


The goal is to avoid any new breaking changes moving forward.

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Practicalities of deploying dockerized ASP.NET Core application to Heroku

Reading time3 min
Views8.9K

Intro


.NET is a relative newcomer in the open-source world, and its popularity is nowhere near mainstream platforms like Node.js. So you can imagine there're few tutorials that deal with .NET and frameworks such as ASP.NET on Heroku. And those that do, probably won't use containers.


Image showing heroku menu without C#


Do you see C#/.NET here? Yes, me neither.

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Family tree inside Git

Reading time6 min
Views4.2K

Happy programmer's day! I wish you more bright commits, merged pull requests, less merge conflicts, and that your life branches remain relevant as long as possible. As a conceptual gift, I propose the implementation of a family tree by means of the Git version control system. Well… sounds like a plan!



For those who have immediately understood everything, I give links to the source code: GenealogyTreeInGit and family trees: mine and US presidents.


In addition, I implemented a simple social graph. It displays not only the degree of kinship, but also the status of relations between descendants, events such as wedding, divorce, childbirth, as well as contributions to the relations.

More about implementation, details, and pictures

Audio over Bluetooth: most detailed information about profiles, codecs, and devices

Reading time24 min
Views314K
XKCD comic. How standards proliferate. SITUATION: there are 14 competing standards. Geek: 14?! Ridiculous! We need to develop one universal standard that covery everyone's use cases. Geek's girlfriend: yeah! SOON: Situation: there are 15 competing standards.

This article is also available in Russian / Эта статья также доступна на русском языке

The mass market of smartphones without the 3.5 mm audio jack changed headphones industry, wireless Bluetooth headphones have become the main way to listen to music and communicate in headset mode for many users.
Bluetooth device manufacturers rarely disclose detailed product specifications, and Bluetooth audio articles on the Internet are contradictory and sometimes incorrect. They do not tell about all the features, and often publish the same false information.
Let's try to understand the protocol, the capabilities of Bluetooth stacks, headphones and speakers, Bluetooth codecs for music and speech, find out what affects the quality of the transmitted audio and the delay, learn how to capture and decode information about supported codecs and other device features.

TL;DR:

  • SBC codec is OK
  • Headphones have their own per-codec equalizer and post processing configuration
  • aptX is not as good as the advertisements say
  • LDAC is a marketing fluff
  • Voice audio quality is still low
  • Browsers are able to execute audio encoders compiled to WebAssembly from C using emscripten, and they won't even lag.

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