The making of Visual Studio IntelliCode's first deep learning model

The making of Visual Studio IntelliCode's first deep learning model. IntelliCode leveraged Azure Machine Learning and ONNX Runtime for the first deep learning model available for Python users in Visual Studio Code. 

Introduction

Since the first IntelliCode code completion model was shipped in Visual Studio and Visual Studio Code in 2018, it has become an essential coding assistant for millions of developers around the world. In the past two years, we have been working tirelessly to enable IntelliCode for more programming languages and, in the meantime, researching ways to improve the model precision and coverage to deliver an even more satisfying user experience. One of our major research efforts was to bring the latest advancements in deep learning for natural language modeling to programming language modeling. After leveraging technologies like Azure Machine Learning and ONNX Runtime, we have successfully shipped the first deep learning model for all the IntelliCode Python users in Visual Studio Code.

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In simple terms, Machine Learning uses some set of algorithms to learn different examples of similar data to perform a specific task for a particular domain.

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Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant