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Powell Stephen G.: Business Analytics

Business Analytics

The Art of Modeling With Spreadsheets

This concise yet comprehensive guide shows developers and architects how to tackle data integration challenges with MuleSoft. Authors Pooja Kamath and Diane Kesler take you through the process necessary to build robust and scalable integration solutions step-by-step. Supported by real-world use cases, Building Integrations with MuleSoft teaches you to identify and resolve performance bottlenecks, handle errors, and ensure the reliability and scalability of your integration solutions. You'll explore MuleSoft's robust set of connectors and their components, and use them to connect to systems and applications from legacy databases to cloud services. <ul> <li>Ask the right questions to determine your use case, define requirements, decide on reuse versus rebuild, and create sequence and context diagrams </li><li>Master tools like the Anypoint Platform, Anypoint Studio, Code Builder, GitHub, and Maven </li><li>Design APIs with RAML and OAS and craft effective requests and responses </li><li>Write MUnit tests, validate DataWeave expressions, and use Postman Collections </li><li>Deploy Mule applications to CloudHub, use API Manager to create API proxies, and secure APIs with Mule OAuth 2.0 </li><li>Learn message orchestration techniques for routers, transactions, error handling, For Each, Parallel For Each, and batch processing </li></ul>

Integrating Systems and Unifying Data in the Enterprise

Building Integrations with Mulesoft

Deep Learning for Synthetic Aperture Radar Remote Sensing

Techniques and Applications

Spatial Statistics and Analysis

Fueling Blockchain Innovation and DApp Expansion

Consensus

We've arrived in a new era--GenAI is reshaping industries and decision-making processes across the board. As a result, understanding their potential and pitfalls has become crucial. But in order to stay ahead of the curve, you'll need to develop fresh perspectives on leveraging AI beyond mere technical know-how. Geared toward business leaders and tech professionals alike, this book demystifies the strategic integration of AI into business practices, ensuring you're equipped not just to participate but to lead in this new landscape. This insightful guide by industry leaders Rob Thomas, Paul Zikopoulos, and Kate Soule goes beyond the basics, offering real-life success stories and learned lessons to provide a blueprint for meaningful AI engagement. Whether you're a novice or a seasoned expert, you'll come away with an enhanced understanding of GenAI. <ul> <li>Recognize the transformative potential of AI in business and how to harness it</li> <li>Navigate the ethical and operational challenges posed by AI with confidence</li> <li>Understand the dynamic interplay between AI technology and business strategy</li> <li>Implement actionable strategies to integrate AI into your organizational culture</li> <li>Step confidently into the role of an AI value creator, equipped to lead and innovate</li> </ul>

Beyond the Generative AI User Mindset

AI Value Creators

Numerical Methods Using MATLAB®, Fifth Edition continues to provide a clear and rigorous introduction to a wide range of numerical methods that have practical applications. The authors’ approach is to integrate MATLAB with numerical analysis in a way which adds clarity to the numerical analysis and develops familiarity with MATLAB. MATLAB graphics and numerical output are used extensively to clarify complex problems and give a deeper understanding of their nature. The text provides an extensive reference providing numerous useful and important numerical algorithms that are implemented in MATLAB to help researchers analyze a particular outcome. By using MATLAB it is possible for the readers to tackle some large and difficult problems and deepen and consolidate their understanding of problem solving using numerical methods. Many worked examples are given together with exercises and solutions to illustrate how numerical methods can be used to study problems that have applications in the biosciences, chaos, optimization and many other fields. The text will be a valuable aid to people working in a wide range of fields, such as engineering, science and economics.

Using MATLAB

Numerical Methods

How to Design, Deploy, and Sustain an Effective Data Governance Program

Data Governance

Fundamentals and Applications

Computational Fluid Dynamics in Chemical Engineering

An expert playbook for UX professionals researching, designing, and testing AI-powered products In UX for AI: A Framework for Designing AI-Driven Products, Greg Nudelman - a seasoned UX designer and AI strategist - delivers a proven framework for creating exciting, effective, and practical UX designs that integrate with new artificial intelligence technologies. You'll find tools you can put to work immediately as you research, plan, design, and test user experiences that incorporate human-AI interactions. The book offers hands-on design techniques that rely on tested user research methods. It also includes exercises, like Digital Twin and Value Matrix, that build your design skills and confidence, as well as AI patterns and best practices that have proven effective in real-world deployments of LLMs (Large Language Models), AI agents, copilots, AI search tools, and more. UX for AI is an original and up-to-date design guide that belongs on the desk of every UX designer and product professional working with AI-enabled or AI-driven products. It's also a must-read for students of UX design, new and trainee UX professionals, and anyone else involved in the creation of software that incorporates artificial intelligence.

A Framework for Designing AI-Driven Products

UX for AI

Woodhead Publishing Series in Civil and Structural Engineering

A growing use of membranes for construction purposes has recently been encouraged by their environmentally friendly characteristics. To offer a timely and extensive, research-grounded compendium on structures made with fabrics and foils, the most relevant facets of the state of the art are covered in two sister titles. Membranes for Structures - Applications is steeped in fascinating, functional examples: in fact, a selection of detailed case studies is presented in Part One, preceded by the description of two relevant historical antecedents, which are the circus tent and the "envelat". The particular case of the successful spoked wheel structural system for the construction of large stadiums is the subject of Part Two, including descriptions of four significant case studies. Two growing fields of application are the focus of Part Three, which is dedicated to façades that give buildings a unique appearance, and Part Five, which addresses replacements, renovations, and refurbishments-activities that are frequently encountered in today’s construction industry. And Part Four presents the latest application developments in different countries across the globe, with achievements in China, Latin and North America, Japan, and Europe being highlighted. The well-amalgamated contributions, authored by international experts, produce a comprehensive reference to keep students and researchers as well as industry professionals and various other stakeholders abreast with the latest advancements.

Applications

Membranes for Structures

Medical and Technical Analysis and Signal Processing Perspectives

Exploring Infant Cry

In today's data-driven world, earning the Tableau Certified Data Analyst credential signals your ability to connect, analyze, and communicate insights using one of the industry's leading visualization platforms. This study guide offers practical and comprehensive preparation for the certification exam, with walk-throughs, best practices, vocabulary, and example questions to help you build both confidence and competence in Tableau. Written by Christopher Gardner, business intelligence analyst and lead Tableau developer at the University of Michigan, this guide supports first-time test-takers and seasoned users alike. You'll begin with foundational skills in Tableau Prep Builder and Tableau Desktop--connecting, combining, and preparing data--before progressing to building effective visualizations, performing calculations, and applying advanced tools like level-of-detail expressions, parameters, forecasts, and predictive analytics. <ul> <li>Read, manipulate, and prepare data for analysis</li> <li>Navigate Tableau's tools to build impactful visualizations</li> <li>Write calculations and functions to enhance your dashboards</li> <li>Share your work responsibly with secure publishing options</li> </ul>

Tableau Certified Data Analyst Study Guide

Business Analytics

Bibliografische Angaben

Schlagworte

Bibliografische Angaben

Schlagworte

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