Best ASP.NET Books

Yammer: Collaborate, Connect, and Share

Build a successful Yammer implementation, make your workplace social and collaborative, create a culture of sharing, form expert communities and generate innovative solutions. Besides, this book will help to enhance your collaboration your suppliers, partners, and clients. The author starts by giving an introduction to social collaborations and successful implementations of Yammer. Along the way, he explains the art …

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Introducing Microsoft Flow: Automating Workflows Between Apps and Services

Use Microsoft Flow in your business to improve productivity through automation with this step-by-step introductory text from a Microsoft Flow expert. You’ll see the prerequisites to get started with this cloud-based service, including how to create a flow and how to use different connectors. Introducing Microsoft Flow takes you through connecting with SharePoint, creating approval flows, and using …

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Machine Learning with Microsoft Technologies: Selecting the Right Architecture and Tools for Your Project

Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. …

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Beginning Office 365 Collaboration Apps: Working in the Microsoft Cloud

Start making the most of the latest collaboration tools in Office 365―including SharePoint, OneDrive, Office 365 Groups, Office, Teams, Yammer, Planner, Stream, Forms, and Flow―and integrate them into your team’s projects to boost productivity, engagement, innovation, and enjoyment at work. This book walks you through the features, teaching you how to choose the right tools for your situation.While …

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Effective Team Management with VSTS and TFS: A Guide for Scrum Masters

Gain the essential knowledge to use VSTS/TFS effectively to empower your Agile teams. This book provides a deep analysis into issues Agile teams may face and how to overcome them by adopting and implementing the proper tools.Rather than just review VSTS/TFS features, this book provides proven solutions to the challenges in building better Agile teams. You’ll see how …

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Understanding Azure Data Factory: Operationalizing Big Data and Advanced Analytics Solutions

Improve your analytics and data platform to solve major challenges, including operationalizing big data and advanced analytics workloads on Azure. You will learn how to monitor complex pipelines, set alerts, and extend your organization’s custom monitoring requirements.This book starts with an overview of the Azure Data Factory as a hybrid ETL/ELT orchestration service on Azure. The book then dives into data …

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Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform

Get up-to-speed with Microsoft’s AI Platform. Learn to innovate and accelerate with open and powerful tools and services that bring artificial intelligence to every data scientist and developer.Artificial Intelligence (AI) is the new normal. Innovations in deep learning algorithms and hardware are happening at a rapid pace. It is no longer a question of should I build AI …

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Learning Regular Expressions

Learn to use one of the most powerful text processing and manipulation tools available Regular expression experts have long been armed with an incredibly powerful tool, one that can be used to perform all sorts of sophisticated text processing and manipulation in just about every language and on every platform. That’s the good …

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Cognitive Computing Recipes: Artificial Intelligence Solutions Using Microsoft Cognitive Services and TensorFlow

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes deep learning and machine learning accessible to everyday developers, by providing a combination of tools such as cognitive services APIs, machine learning platforms, and libraries.Along with an overview of the contemporary technology landscape, Machine Learning and Deep Learning …

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