Random Forest Regression in Python Sklearn with Example
Introduction In this article, we will see a tutorial on Random Forest
Read moreDeep Learning, NLP, NMT, AI, ML
Introduction In this article, we will see a tutorial on Random Forest
Read moreWelcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article Behind the Tech podcast with Tobi Lütke: CEO and Founder, Shopify In the latest episode of Behind the Tech, Microsoft CTO Kevin Scott is joined by Tobi Lütke, CEO and founder
Read moreWelcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article Revolutionizing Document AI with multimodal document foundation models Organizations must digitize various documents, many with charts and images, to manage and streamline essential functions. Yet manually digitized documents are often of uneven
Read moreWe stand at the threshold of a new era of precision medicine, where health and life sciences data hold the potential to dramatically propel and expand our understanding and treatment of human disease. One of the tools that we believe will help to enable precision medicine is Terra, the secure biomedical research platform co-developed by Broad Institute of MIT and Harvard, Microsoft, and Verily. Today, we are excited to share that Terra is available for preview on Microsoft Azure. Starting […]
Read moreIntroduction EasyOCR is a Python library for Optical Character Recognition (OCR) that allows you to easily extract text from images and scanned documents. In this tutorial, we will understand the basics of using the Python EasyOCR package with examples to show how to extract text from images along with various parameter settings. EasyOCR Python Package Overview Reader Class EasyOCR Python package consists of the base
Read moreEditor’s note: All papers referenced here represent collaborations throughout Microsoft and across academia and industry that include authors who contribute to Aether, the Microsoft internal advisory body for AI Ethics and Effects in Engineering and Research.
Read moreWelcome to Research Focus, a new series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. In this article High-throughput ab initio reaction mechanism exploration in the cloud with automated multi-reference validation Jan P. Unsleber, Hongbin Liu, Leopold Talirz, Thomas Weymuth, Maximilian Mörchen, Adam Grofe, To finish reading, please visit source site
Read moreIntroduction OpenAI, the leading research institute in the field of
Read moreIntroduction This tutorial will provide a detailed exploration of the torch.mean() function in PyTorch. We will begin by understanding the syntax of this function, and then move on to examine its capabilities through a variety of examples and illustrations. This will help beginners gain a thorough understanding of how to use this function to calculate the mean of the elements in a PyTorch tensor. What is torch.mean() function in PyTorch The torch sum() function is used to find the mean […]
Read moreIn this article 2022 has seen remarkable progress in foundational technologies that have helped to advance human knowledge and create new possibilities to address some of society’s most challenging problems. Significant advances in AI have also enabled Microsoft to bring new capabilities to customers through our products and services, including
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