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Android Apps Security provides guiding principles for how to best design and develop Android apps with security in mind. It explores concepts that can be used to secure apps and how developers can use and incorporate these security features into their apps. This book will provide developers with the information they need to design useful, high-performing, and secure apps that expose end-users to as little risk as possible. Overview of Android OS versions, features, architecture and security. Detailed examination of areas where attacks on applications can take place and what controls should be implemented to protect private user data In-depth guide to data encryption, authentication techniques, enterprise security and applied real-world examples of these concepts

The ability to create and understand financial models that assess the valuation of a company, the projects it undertakes, and its future earnings/profit projections is one of the most valued skills in corporate finance. However, while many business professionals are familiar with financial statements and accounting reports, few are truly proficient at building an accurate and effective financial model from the ground up. That's why, in The Financial Modeling Handbook, Jack Avon equips financial professionals with all the tools they need to precisely and effectively monitor a company's assets and project its future performance. Based on the author's extensive experience building models in business and finance-and teaching others to do the same-The Handbook of Financial Modelingtakes readers step by step through the financial modeling process, starting with a general overview of the history and evolution of financial modeling. It then moves on to more technical topics, such as the principles of financial modeling and the proper way to approach a financial modeling assignment, before covering key application areas for modeling in Microsoft Excel. Designed for intermediate and advanced modelers who wish to expand and enhance their knowledge, The Handbook of Financial Modelingalso covers: The accounting and finance concepts that underpin working financial models; How to approach financial issues and solutions from a modeler's perspective; The importance of thinking about end users when developing a financial model; How to plan, design, and build a fully functional financial model; And more. A nuts-to-bolts guide to solving common financial problems with spreadsheets, The Handbook of Financial Modeling is a one-stop resource for anyone who needs to build or analyze financial models.

Access real-world documentation and examples for the Spark platform for building large-scale, enterprise-grade machine learning applications.The past decade has seen an astonishing series of advances in machine learning. These breakthroughs are disrupting our everyday life and making an impact across every industry.Next-Generation Machine Learning with Spark provides a gentle introduction to Spark and Spark MLlib and advances to more powerful, third-party machine learning algorithms and libraries beyond what is available in the standard Spark MLlib library. By the end of this book, you will be able to apply your knowledge to real-world use cases through dozens of practical examples and insightful explanations. What You Will LearnBe introduced to machine learning, Spark, and Spark MLlib 2.4.xAchieve lightning-fast gradient boosting on Spark with the XGBoost4J-Spark and LightGBM librariesDetect anomalies with the Isolation Forest algorithm for SparkUse the Spark NLP and Stanford CoreNLP libraries that support multiple languagesOptimize your ML workload with the Alluxio in-memory data accelerator for SparkUse GraphX and GraphFrames for Graph AnalysisPerform image recognition using convolutional neural networksUtilize the Keras framework and distributed deep learning libraries with Spark Who This Book Is ForData scientists and machine learning engineers who want to take their knowledge to the next level and use Spark and more powerful, next-generation algorithms and libraries beyond what is available in the standard Spark MLlib library; also serves as a primer for aspiring data scientists and engineers who need an introduction to machine learning, Spark, and Spark MLlib.

Analyze company data quickly and easily using Microsoft's powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals.Beginning Power BI is a hands-on, activity-based guide that takes you through the process of analyzing your data using the tools that that encompass the core of Microsoft's self-service BI offering. Starting with Power Query, you will learn how to get data from a variety of sources, and see just how easy it is to clean and shape the data prior to importing it into a data model. Using Power BI tabular and the Data Analysis Expressions (DAX), you will learn to create robust scalable data models which will serve as the foundation of your data analysis. From there you will enter the world of compelling interactive visualizations to analyze and gain insight into your data. You will wrap up your Power BI journey by learning how to package and share your reports and dashboards with your colleagues.Author Dan Clark takes you through each topic using step-by-step activities and plenty of screen shots to help familiarize you with the tools. This third edition covers the new and evolving features in the Power BI platform and new chapters on data flows and composite models. This book is your hands-on guide to quick, reliable, and valuable data insight.What You Will Learn Simplify data discovery, association, and cleansingBuild solid analytical data models Create robust interactive data presentations Combine analytical and geographic data in map-based visualizations Publish and share dashboards and reports Who This Book Is ForBusiness analysts, database administrators, developers, and other professionals looking to better understand and communicate with data

A few square miles of Northern California contain some of the world's largest companies whose products affect billions of people every single day. What made these giants of Silicon Valley as impactful as they are? What do their paths to success have in common? Turning Silicon into Gold is a sharp analysis of 25 case studies examining just that. Authors Griffin Kao, Jessica Hong, Michael Perusse, and Weizhen Sheng provide relevant commentary as they explore the stories behind companies such as Apple, Amazon, OpenTable, and many more. These organizations used unique problem-solving strategies to forever change the face of tech-whether it was Facebook's second mover advantage over MySpace or Nintendo's leap of faith in the 1980s to revitalize the video game industry.Learn by example as Turning Silicon into Gold divulges the inner workings behind some of the most significant business decisions in tech history. The nuanced ways these companies tackled emerging markets and generated growth in uncertain times is essential knowledge for modern business leaders, innovators, and aspiring founders. Whether you are simply curious about the origins of the world's tech giants or you are an entrepreneur looking for inspiration, the thoughtful, comprehensive case study collection that is Turning Silicon into Gold belongs on your bookshelf.What You Will LearnUnderstand why companies like Amazon, Facebook, OpenTable and more have made some controversial and strategic decisionsRealize how Big Data is driving the success of many new and mature venturesSee how tech companies are tackling emerging markets and generating growthExamine how capital flows through the tech industryWho This Book is ForThe book is for people currently in or interested in exploring a career in the intersection of technology and business, such as product management, entrepreneurship, or non-coding positions at a tech company-it's also great for people generally curious about how the tech industry operates. The book offers case studies in an engaging and approachable way, while still providing important takeaways and probing questions-perfect for the casual reader or even someone trying to prepare for interviews.

Develop a comprehensive plan for building a HIPAA-compliant security operations center, designed to detect and respond to an increasing number of healthcare data breaches and events. Using risk analysis, assessment, and management data combined with knowledge of cybersecurity program maturity, this book gives you the tools you need to operationalize threat intelligence, vulnerability management, security monitoring, and incident response processes to effectively meet the challenges presented by healthcare's current threats. Healthcare entities are bombarded with data. Threat intelligence feeds, news updates, and messages come rapidly and in many forms such as email, podcasts, and more. New vulnerabilities are found every day in applications, operating systems, and databases while older vulnerabilities remain exploitable. Add in the number of dashboards, alerts, and data points each information security tool provides and security teams find themselves swimming in oceans of data and unsure where to focus their energy. There is an urgent need to have a cohesive plan in place to cut through the noise and face these threats.Cybersecurity operations do not require expensive tools or large capital investments. There are ways to capture the necessary data. Teams protecting data and supporting HIPAA compliance can do this. All that's required is a plan-which author Eric Thompson provides in this book. What You Will LearnKnow what threat intelligence is and how you can make it usefulUnderstand how effective vulnerability management extends beyond the risk scores provided by vendorsDevelop continuous monitoring on a budgetEnsure that incident response is appropriateHelp healthcare organizations comply with HIPAAWho This Book Is ForCybersecurity, privacy, and compliance professionals working for organizations responsible for creating, maintaining, storing, and protecting patient information.

Beginning-Intermediate user level