Bøger af Sudipta Mukherjee

"The Crossroads is a story of Aparajita Basu, a girl from a humble household of Kolkata, who tears away from her family to settle her roots in America, with her childhood friend, Aniruddha. To Aparajita, he is everything she ever wanted.Love dwindles slowly. Fate turns in a blink.Dishearten, she returns, not to her hometown but to a different city, where she finds herself a stranger. Haunted by her disturbed thoughts, obsessed by that one name, she finds no escape... until she discovers herself standing on a new crossroads.An ordinary girl, who loses herself to love.A lover, who turns out to be a betrayer.A friendship born on a stormy night.Wisdom bred out of miseries.A homecoming that completes one full cycle.Three Cities... Two Friends... One Girl... One Story."

Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible.Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them in many application settings without having to think about the internal details. You will learn about the features that do the necessary "e;plumbing"e; that is required in a variety of machine learning problems, freeing up your time to focus on your applications. You will understand that while the infrastructure pieces may at first appear to be disconnected and haphazard, they are not. Developers who are curious about trying machine learning, yet are shying away from it due to its perceived complexity, will benefit from this book. This introductory guide will help you make sense of it all and inspire you to try out scenarios and code samples that can be used in many real-world situations.What You Will LearnCreate a machine learning model using only the C# languageBuild confidence in your understanding of machine learning algorithms Painlessly implement algorithms Begin using the ML.NET library softwareRecognize the many opportunities to utilize ML.NET to your advantageApply and reuse code samples from the bookUtilize the bonus algorithm selection quick references available onlineWho This Book Is ForDevelopers who want to learn how to use and apply machine learning to enrich their applications

Learn how to build an interactive source code analytics system using Roslyn and JavaScript. This concise 150 page book will help you create and use practical code analysis tools utilizing the new features of Microsoft's Roslyn compiler to understand the health of your code and identify parts of the code for refactoring. Source code is one of the biggest assets of a software company. However if not maintained well, it can become a big liability. As source code becomes larger. more complex and accessed via the cloud, maintaining code quality becomes even more challenging. The author provides straightforward tools and advice on how to manage code quality in this new environment. Roslyn exposes a set of APIs which allow developers to parse their C# and VB.NET code and drastically lower the barrier to entry for Meta programming in .NET. Roslyn has a dedicated set of APIs for creating custom refactoring for integrating with Visual Studio. This title will show readers how to use Roslyn along with industry standard JavaScript visualization APIs like HighCharts, D3.js etc to create a scalable and highly responsive source code analytics system. What You Will LearnUnderstand the Roslyn Syntax APIUse Data Visualization techniques to assist code analysis process visuallyCode health monitoring matrices (from the standard of Code Query Language)Code mining techniques to identify design patterns used in source codeCode forensics techniques to identify probable author of a given source codeTechniques to identify duplicate/near duplicate codeWho This Book is For.NET Software Developers and Architects