Data capture and analysis

Cyber Security for CEOs and Managment is a concise overview of the security threats posed to organizations and networks by the ubiquity of USB Flash Drives used as storage devices.

Colorful example-rich introduction to the state-of-the-art for students in data science, as well as researchers and practitioners.

This book collects the research work of leading-edge researchers and practitioners in the areas of analysis, synthesis, design and implementation of real-time systems with applications in various industrial fields.

Von einfachen Routineaufgaben bis zu komplexen Geschäftsprozessen – Automatisierung ohne Programmierkenntnisse- Sich wiederholende Aufgaben ganz einfach automatisieren- Geschäftsprozesse ohne manuelle Eingaben abwickeln- Flows mit Templates erstellen oder komplett neu entwerfen Die effiziente Verarbeitung von Informationen ist für den erfolgreichen Betrieb moderner Unternehmen von entscheidender Bedeutung.

Data access is essential for serving the public good.

This unified random matrix approach to large-dimensional machine learning covers applications from power detection to deep neural networks.

Advances in Imaging and Electron Physics, Volume 203, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy.

Top 20 Essential Skills for ArcGIS(R) Pro introduces the most important skills you need to get up and running with geographic information systems (GIS).

Theres growing interest in learning how to analyze streaming data in large-scale systems such as web traffic, financial transactions, machine logs, industrial sensors, and many others.

This seventh IFAC workshop on distributed control systems (DCCS) discusses the ideas of real-time synchronization and data consistency in industry, with emphasis on the Manufacturing Automation Protocol (MAP).

Learn how to use R to apply powerful machine learning methods and gain insight into real-world applications using clustering, logistic regressions, random forests, support vector machine, and more.

Achieve best-in-class metrics and get more from your data with JMP JMP Connections is the small- and medium-sized business owner's guide to exceeding customer expectations by getting more out of your data using JMP.

OCEB 2 Certification Guide, Second Edition has been updated to cover the new version 2 of the BPMN standard and delivers expert insight into BPM from one of the developers of the OCEB Fundamental exam, offering full coverage of the fundamental exam material for both the business and technical tracks to further certification.

Your life online is their product.

The correct design, analysis and interpretation of plant science experiments is imperative for continued improvements in agricultural production worldwide.

Data is an increasingly important business asset and enabler for organisational activities.

An accessible primer on how to create effective graphics from dataThis book provides students and researchers a hands-on introduction to the principles and practice of data visualization.

Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with JupyterKey FeaturesLearn how to use Jupyter 5.

Building a simple but powerful recommendation system is much easier than you think.

Design, secure, and protect the privacy of edge analytics applications using platforms and tools such as Microsoft's Azure IoT Edge, MicroPython, and Open Source Computer Vision (OpenCV)Key FeaturesBecome well-versed with best practices for implementing automated analytical computationsDiscover real-world examples to extend cloud intelligenceDevelop your skills by understanding edge analytics and applying it to research activitiesBook DescriptionEdge analytics has gained attention as the IoT model for connected devices rises in popularity.

Build efficient, high-performance & scalable systems to process large volumes of data with Apache IgniteKey FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook DescriptionApache Ignite is a distributed in-memory platform designed to scale and process large volume of data.

This book examines the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view.

Jump-start your career as a data scientist learn to develop datasets for exploration, analysis, and machine learning SQL for Data Scientists: A Beginner's Guide for Building Datasets for Analysis is a resource that s dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most.

Discover expert techniques for combining machine learning with the analytic capabilities of Elastic Stack and uncover actionable insights from your dataKey FeaturesIntegrate machine learning with distributed search and analyticsPreprocess and analyze large volumes of search data effortlesslyOperationalize machine learning in a scalable, production-worthy wayBook DescriptionElastic Stack, previously known as the ELK stack, is a log analysis solution that helps users ingest, process, and analyze search data effectively.

This book provides guidelines and fully worked examples of how to select, construct, interpret and evaluate the full range of count models.

Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions.

This book focuses on the modern nuclear models and computer codes used in nuclear model calculations of nuclear data required for nuclear technology and nuclear safety applications.

If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task.

Add Data and Analytics to Your TD ToolkitInstructional design pro Megan Torrance addresses the importance of instructional designers accessing and applying learning and performance datafrom how to design learning experiences with data collection in mind to how to use the data to improve and evaluate those experiences.

When you picture human-data interactions (HDI), what comes to mind?

With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning.

Advanced data management has always been at the core of efficient database and information systems.

Become an expert at using Python for advanced statistical analysis of data using real-world examplesAbout This BookClean, format, and explore data using graphical and numerical summariesLeverage the IPython environment to efficiently analyze data with PythonPacked with easy-to-follow examples to develop advanced computational skills for the analysis of complex dataWho This Book Is ForIf you are a competent Python developer who wants to take your data analysis skills to the next level by solving complex problems, then this advanced guide is for you.

Kickstart your NLP journey by exploring BERT and its variants such as ALBERT, RoBERTa, DistilBERT, VideoBERT, and more with Hugging Face's transformers libraryKey FeaturesExplore the encoder and decoder of the transformer modelBecome well-versed with BERT along with ALBERT, RoBERTa, and DistilBERTDiscover how to pre-train and fine-tune BERT models for several NLP tasksBook DescriptionBERT (bidirectional encoder representations from transformer) has revolutionized the world of natural language processing (NLP) with promising results.

Pattern Recognition on Oriented Matroids covers a range of innovative problems in combinatorics, poset and graph theories, optimization, and number theory that constitute a far-reaching extension of the arsenal of committee methods in pattern recognition.

Learn Azure's cloud capabilities with the help of this introductory guide to employing Azure for your cloud infrastructure needs.

Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes.

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial IntelligenceKey FeaturesLearn to build and run a big data application with sample codeExplore examples to implement activities that a big data architect performsUse Machine Learning and AI for structured and unstructured dataBook DescriptionThe big data architects are the "e;masters"e; of data, and hold high value in today's market.

Graph data closes the gap between the way humans and computers view the world.

Solve real-world business problems by learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI, SQL Server, and Excel.

Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data.

How do you turn raw, unprocessed, or malformed data into dynamic, interactive web visualizations?

This book provides an introduction to spatial analyses concerning disaggregated (or micro) spatial data.

Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud platform.

Camera trapping is a powerful and now widely used tool in scientific research on wildlife ecology and management.

SQL is full of difficulties and traps for the unwary.