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Innovation Together
Since its establishment in 1998, Microsoft Research Asia’s trademark and long term commitment has been to foster innovative research and advanced education in the Asia-Pacific region. Through open collaboration and partnership with universities, government and other academic partners, MSRA has been consistently advancing the state-of-the-art in computer science. This book was compiled to record these outstanding collaborations, as Microsoft Research Asia celebrates its 10th Anniversary. The selected papers are all authored or co-authored by faculty members or students through collaboration with MSRA lab researchers, or with the financial support of MSRA. Papers previously published in top-tier international conference proceedings and journals are compiled here into one accessible volume of outstanding research. Innovation Together highlights the outstanding work of Microsoft Research Asia as it celebrates ten years of achievement and looks forward to the next decade of success.
Pattern Recognition and Machine Learning
This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
The Future of Looking Back
What will we leave behind in this new digital age? As digital technology takes an ever-increasing role in our lives, one question is how we'll manage our collections after we're gone. What takes the place of shoeboxes full of pictures and dog-eared record albums? Get an inside look at Microsoft researcher Richard Banks's thinking about how we might manage the digital artifacts and content we're creating now--and how we might pass on or inherit these kinds of items in the future. About the Microsoft Research Series At Microsoft Research, we're driven to imagine and to invent. Our desire is to create technology that helps people realize their full potential, and to advance the state of the art in computer science. The Microsoft Research series shares the insights of Microsoft researchers as they explore the new and the transformative.
Foundations of Data Science
Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
The Fourth Paradigm
Foreword. A transformed scientific method. Earth and environment. Health and wellbeing. Scientific infrastructure. Scholarly communication.
Using Microsoft Excel for Social Research
Full of practical advice and real-world examples, this step-by-step guide offers you an accessible introduction to doing quantitative social research using Microsoft Excel.
Braintrust
Bill Gates and his lieutenants at Microsoft share one common trait - they all want to have a major impact on history. In 1991, Microsoft Research was launched, with the objective of discovering new technologies that would change fundamentally the way we work, live and think.
Deep Learning
Provides an overview of general deep learning methodology and its applications to a variety of signal and information processing tasks
Creating Research and Scientific Documents Using Microsoft Word
Research fuels innovation—and with this focused guide to Microsoft Word, you can help increase your team’s collaborative power and effectiveness, and bring new research to life. Writing proposals, reports, journal articles, theses, and other technical documents as a team poses unique challenges, not the least of which is consistent presentation and voice. You must also manage the formatting and accuracy of figures, equations, and citations, and comply with the style rules of external publications. In this book you’ll learn from the authors’ extensive experience managing the authoring and publication of technical content, and gain specific practices and templates you can apply right away. Focuses on the unique challenges of writing and producing documents in an academic or commercial R&D setting Demonstrates how to use Microsoft Word to increase the quality of collaborative document preparation—including formatting, editing, citations management, commenting, and version control Includes downloadable templates that help automate creation of scientific documents Offers best-practices guidance for writing in teams and writing in the scientific genre
Doing Qualitative Research Using Your Computer
′I find your straightforward writing style an absolute joy, such a breath of fresh air!′ - Angie Ash, PhD student ′...thank you very much for your accessible language, clear lay out and practical applied approach. I suspect that this book will never be far from my side over the next 4 years!!′ - Mayen Konarski, PhD student Using straight-forward language Doing Qualitative Research Using Your Computer walks readers through the process of managing and streamlining research projects using commonly available Microsoft software applications. Drawing on a wide range of examples to demonstrate how easy it is to use such software, this guide is full of useful hints and tips on how to manage ...
