Barrton vincent (47 resultados)
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 14,49
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 14,49
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 14,49
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 14,49
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New.
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Librería: Rarewaves.com USA, London, LONDO, Reino UnidoRarewaves.com USA
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 17,68
Gastos de envío gratisSe envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 15,13
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 15,13
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 15,13
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 15,13
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 15,13
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 16,71
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 16,71
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 16,79
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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EUR 15,08
Envío por EUR 14,02Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. In.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,06
Envío por EUR 32,52Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Mastering data-intensive systems requires more than traditional programming skills or a focus on hardware. The velocity and variety of modern data create unique design demands that must be addressed from the ground up. This guide approaches these challenges by equipping you with the fundamen…tal knowledge and practical tools needed to make sharp architectural decisions in contemporary, data-driven environments.The core of any data-intensive system is built upon a series of foundational choices. The approach you take to storage, streaming, and scalability shapes the flexibility, reliability, and future growth potential of your applications. These pillars aren't just technical categories; they represent the everyday decisions that determine whether systems will gracefully accommodate surging user demand or collapse under unanticipated stress.The modern landscape is defined by explosive data growth. Applications today generate, receive, and process data from an expanding array of sources, often in real time. Alongside the data deluge, reliability expectations have tightened. Users, teams, and regulators expect uninterrupted service and precise outcomes, regardless of scale. Systems that cannot handle data influx or recover quickly from errors risk downtime, data loss, or even organizational setbacks. This means system failures and capacity shortfalls are no longer minor inconveniences; they can represent significant business risk.This guide provides actionable visual tools and decision checklists aimed at identifying and addressing essential design points before performance bottlenecks and outages occur. Visual concept maps break down complex relationships among storage types and streaming mechanisms, giving clarity at every planning stage. Checklists flag critical requirements and edge conditions, helping catch potential flaws early. Failure pattern tables highlight common pitfalls, making diagnostic work more effective when things go wrong.This guide focuses intentionally on core architecture and design fundamentals. It does not cover deep algorithmic tutorials, industry-specific compliance standards, or application-layer user guidance. Instead, each chapter delivers clear, usable frameworks suitable across a broad range of domains and systems. By maintaining this scope, the guide ensures that every visual, checklist, and diagram remains general, practical, and widely applicable.In this guide, you will discover: Definitions and distinctions among functional storage categories, reviewing where block, file, and object storage each excel.Operating principles for streaming data flows, including real-time pipeline mechanics, buffering, and event management.Proven approaches to system scaling, with frameworks for vertical and horizontal growth and clear diagrams illustrating partitioning and replication.Visual concept maps that tie together architecture choices, making system relationships easy to understand.Decision checklists for evaluating durability, consistency, throughput, and scaling capacity at critical design milestones.Failure pattern tables and comparative diagrams to quickly identify and address common bottlenecks or design missteps.Diagnostic templates and reference charts for live evaluation and troubleshooting, so you can adapt strategies as data volumes increase.Explanations of common bottlenecks and clear guides to preventing the most frequent system slowdowns and breakdowns. By the end of this guide, you'll be able to navigate the essentials of data-intensive systems with clarity. The diagrams, frameworks, and diagnostic tools provided will serve as your roadmap through the complexities of modern storage, streaming, and scaling, empowering you to plan and a Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,75
Envío por EUR 32,52Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. As customer demands evolve, traditional support teams face mounting pressure to resolve inquiries quickly and accurately. Many organizations encounter significant obstacles managing the sheer volume and increasing complexity of customer requests. Relying on manual triage or simple rule-based… systems often results in inconsistent answers, slow response times, and a backlog of unresolved tickets. The limitations of these methods become even more apparent as knowledge bases grow and customer expectations rise for real-time, precise answers across channels.A scalable customer support solution is now essential to uphold positive brand perception and maintain operational efficiency. AI agents, especially those leveraging Retrieval-Augmented Generation (RAG), offer a path toward delivering consistent, brand-aligned responses at speed and scale. Without robust automation, support teams risk not only reduced productivity, but the spread of misinformation or contradictory advice that can erode customer trust.Introducing AI agents into customer support, however, is not simply a plug-and-play exercise. Many teams hesitate due to the technical complexity and uncertainty around maintaining reliability, privacy, and compliance. This guide addresses those concerns directly, focusing on practical clarity for every phase of an AI agent project from initial planning and tool selection through deployment, risk management, and ongoing refinement. The emphasis remains tightly on customer support applications and methods that can be actioned without the need for deep AI research backgrounds or custom large language model (LLM) training.Efforts outside this scope, such as advanced model development or cross-industry deployments, are not addressed here. Instead, the guide walks sequentially through foundational concepts and actionable steps tailored for customer support scenarios. It begins by demystifying essential terms and RAG workflows, then outlines how to configure and implement a robust, modular architecture. Special attention is paid throughout to integration points ensuring that AI agents can connect and coexist with existing customer relationship management (CRM) and ticketing platforms.In this guide, you will learn: How to define and plan your RAG-powered customer support projectKey considerations for toolchain selection, including managed vs. open-source solutionsStep-by-step instructions for configuring and integrating AI agents with CRM and ticketing platformsBest practices for prompt engineering, data pipeline health checks, and escalation logicHow to operationalize guardrails for responsible AI agent behavior, including privacy, moderation, and escalation protocolsDeployment blueprints, monitoring templates, and troubleshooting frameworks to maintain high service quality and resolve issues quickly Practical tips to future-proof your support operations and ensure ongoing reliability Moving through the process, the guide provides a clear roadmap for prompt engineering and toolchain selection, highlighting decision points around managed versus open-source solutions and listing connectors for mainstream support platforms. Before reaching broader best practices and future-proofing guidance, the guide ensures all crucial elements prompt design, data pipeline health checks, and escalation logic are addressed in practical detail. This approach reduces risk and demystifies building and maintaining RAG-powered customer support agents, even for teams new to the field. By the end, a clear understanding emerges of how to move from legacy support methods to an adaptive, resilient AI-driven system that safeguards both customer experience and brand integrity. Transform Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 14,48
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Prediction markets are one of the fastest-growing corners of online trading.Polymarket sits at the center of that growth, offering a decentralized platform where users trade on the outcomes of real-world events using USDC, a cryptocurrency pegged to the US dollar. The concept is straightforw…ard. The setup is not.For beginners, the first obstacle is technical. Polymarket requires a self-custody crypto wallet before you can deposit a single dollar. Setting one up incorrectly means risking your funds or leaving yourself exposed to phishing attacks. Even after the wallet is ready, the platform uses terms and mechanics that take time to learn. Most beginners make costly errors in their first week, not because they lack judgment, but because they never had a clear roadmap.This guide is that roadmap. Written specifically for people who have never used Polymarket, never set up a crypto wallet, and never traded on a prediction market, it covers exactly what a new user needs for a safe and productive first seven days. Nothing more, nothing less.Following a structured, step-by-step approach, this guide walks you through the full setup process, from installing and securing a crypto wallet to funding it with USDC and connecting it to Polymarket. From there, it covers how to navigate the platform's interface, read and evaluate markets, interpret resolution rules, and understand the fees involved in each trade.More than a technical manual, this guide addresses the behavioral side of prediction market trading. It covers the most common emotional mistakes beginners make, including overcommitting funds, chasing losses, and misreading market rules in a rush to act. A structured daily routine for your first seven days and logbook tools to track trades and record your reasoning are built into the process.By the end of this guide, you will be able to set up and secure a self-custody crypto wallet, deposit USDC safely, navigate Polymarket's market listings, place and exit a trade with confidence, and recognize the warning signs of scams and unreliable markets. You will also have a first-week log of your decisions and outcomes, giving you a foundation to evaluate your own trading patterns as you continue.Designed for curious, practical learners who want to understand what they are doing before they risk real money, this guide prioritizes clarity and safety over speed. It is the guide that most Polymarket users wish they had found in their first hour on the platform. Master the world of prediction markets. This guide offers a safe, step-by-step roadmap to setting up your crypto wallet, navigating the platform, and making your first trades with confidence. Your essential seven-day plan to start smart. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 14,48
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Business environments increasingly rely on AI tools for content generation, data summarization, and process automation. As this integration expands, even minor issues in the prompts used to control these tools can cause outsized problems. Unreliable prompts aren't just a technical inconvenie…nce; they undermine the accuracy of outputs, disrupt existing workflows, and introduce reputational risk that affects how stakeholders and clients perceive work products.Persistent prompt errors, if left unchecked, lead to a wide range of consequences for business operations. Inaccurate instructions can cause models to misinterpret tasks, produce unusable outputs, or repeatedly skip key steps. These errors slow down teams, force time-consuming manual corrections, and, in compliance-sensitive sectors, even create exposure to regulatory penalties or audit failures. Additionally, each prompt-related disruption can affect user trust in AI systems, making it harder for teams to rely on automated processes.With AI now handling operational, administrative, and client-facing tasks, the reliability of prompts becomes a key workflow concern. Bottlenecks often appear when ill-defined prompts block task progression, or when outputs lack consistency, requiring repeated intervention. In regulated industries, inconsistent instructions within prompts may trigger unintentional policy violations or generate outputs that fail legal, privacy, or quality requirements.To address these recurring pain points, systematic quality assurance (QA) methods tailored for prompt creation and review offer practical safeguards. A prompt QA method introduces disciplined checks at every stage: from initial drafting and structured formatting to diagnostic testing and post-deployment feedback collection. By employing standard formats and step-by-step review protocols, organizations can reduce the frequency and severity of prompt failures. The application of targeted diagnostics such as reviewing output consistency and detecting ambiguous phrasing lets teams catch issues early, before they evolve into larger disruptions.This guide focuses strictly on actionable techniques to reduce errors in work-related AI prompts. It deliberately leaves out advanced natural language processing (NLP) theory, complex coding practices such as prompt chaining, and vendor-specific tooling. The scope centers on workplace needs: ensuring reliable, predictable, and compliant AI responses by making prompts as robust as possible, regardless of the underlying AI model or software platform.In this guide, you will learn: How to practically identify and build robust prompt structures that hold up in real-world business use.Ways to systematically apply prompt pattern frameworks to design prompts that avoid common pitfalls such as ambiguity and drift.How to use an integrated review checklist to verify prompt completeness and clarify expected outcomes.Targeted techniques to spot typical red flags-hidden ambiguities, overloaded instructions, or compliance triggers-that often cause breakdowns in AI-assisted work.How to connect all these elements into a repeatable, efficient QA workflow that sustains prompt reliability as AI becomes further embedded in professional processes. This approach aims to promote clear, error-resistant prompts laying the foundation for more dependable, efficient, and trustworthy AI-enabled work. Master AI prompt engineering with practical techniques to ensure reliable, compliant, and efficient AI outputs in business environments. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 19,27
Envío por EUR 43,30Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. As customer demands evolve, traditional support teams face mounting pressure to resolve inquiries quickly and accurately. Many organizations encounter significant obstacles managing the sheer volume and increasing complexity of customer requests. Relying on manual triage or simple rule-based… systems often results in inconsistent answers, slow response times, and a backlog of unresolved tickets. The limitations of these methods become even more apparent as knowledge bases grow and customer expectations rise for real-time, precise answers across channels.A scalable customer support solution is now essential to uphold positive brand perception and maintain operational efficiency. AI agents, especially those leveraging Retrieval-Augmented Generation (RAG), offer a path toward delivering consistent, brand-aligned responses at speed and scale. Without robust automation, support teams risk not only reduced productivity, but the spread of misinformation or contradictory advice that can erode customer trust.Introducing AI agents into customer support, however, is not simply a plug-and-play exercise. Many teams hesitate due to the technical complexity and uncertainty around maintaining reliability, privacy, and compliance. This guide addresses those concerns directly, focusing on practical clarity for every phase of an AI agent project from initial planning and tool selection through deployment, risk management, and ongoing refinement. The emphasis remains tightly on customer support applications and methods that can be actioned without the need for deep AI research backgrounds or custom large language model (LLM) training.Efforts outside this scope, such as advanced model development or cross-industry deployments, are not addressed here. Instead, the guide walks sequentially through foundational concepts and actionable steps tailored for customer support scenarios. It begins by demystifying essential terms and RAG workflows, then outlines how to configure and implement a robust, modular architecture. Special attention is paid throughout to integration points ensuring that AI agents can connect and coexist with existing customer relationship management (CRM) and ticketing platforms.In this guide, you will learn: How to define and plan your RAG-powered customer support projectKey considerations for toolchain selection, including managed vs. open-source solutionsStep-by-step instructions for configuring and integrating AI agents with CRM and ticketing platformsBest practices for prompt engineering, data pipeline health checks, and escalation logicHow to operationalize guardrails for responsible AI agent behavior, including privacy, moderation, and escalation protocolsDeployment blueprints, monitoring templates, and troubleshooting frameworks to maintain high service quality and resolve issues quickly Practical tips to future-proof your support operations and ensure ongoing reliability Moving through the process, the guide provides a clear roadmap for prompt engineering and toolchain selection, highlighting decision points around managed versus open-source solutions and listing connectors for mainstream support platforms. Before reaching broader best practices and future-proofing guidance, the guide ensures all crucial elements prompt design, data pipeline health checks, and escalation logic are addressed in practical detail. This approach reduces risk and demystifies building and maintaining RAG-powered customer support agents, even for teams new to the field. By the end, a clear understanding emerges of how to move from legacy support methods to an adaptive, resilient AI-driven system that safeguards both customer experience and brand integrity. Transform Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
- Tapa blanda
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 19,27
Envío por EUR 43,30Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Mastering data-intensive systems requires more than traditional programming skills or a focus on hardware. The velocity and variety of modern data create unique design demands that must be addressed from the ground up. This guide approaches these challenges by equipping you with the fundamen…tal knowledge and practical tools needed to make sharp architectural decisions in contemporary, data-driven environments.The core of any data-intensive system is built upon a series of foundational choices. The approach you take to storage, streaming, and scalability shapes the flexibility, reliability, and future growth potential of your applications. These pillars aren't just technical categories; they represent the everyday decisions that determine whether systems will gracefully accommodate surging user demand or collapse under unanticipated stress.The modern landscape is defined by explosive data growth. Applications today generate, receive, and process data from an expanding array of sources, often in real time. Alongside the data deluge, reliability expectations have tightened. Users, teams, and regulators expect uninterrupted service and precise outcomes, regardless of scale. Systems that cannot handle data influx or recover quickly from errors risk downtime, data loss, or even organizational setbacks. This means system failures and capacity shortfalls are no longer minor inconveniences; they can represent significant business risk.This guide provides actionable visual tools and decision checklists aimed at identifying and addressing essential design points before performance bottlenecks and outages occur. Visual concept maps break down complex relationships among storage types and streaming mechanisms, giving clarity at every planning stage. Checklists flag critical requirements and edge conditions, helping catch potential flaws early. Failure pattern tables highlight common pitfalls, making diagnostic work more effective when things go wrong.This guide focuses intentionally on core architecture and design fundamentals. It does not cover deep algorithmic tutorials, industry-specific compliance standards, or application-layer user guidance. Instead, each chapter delivers clear, usable frameworks suitable across a broad range of domains and systems. By maintaining this scope, the guide ensures that every visual, checklist, and diagram remains general, practical, and widely applicable.In this guide, you will discover: Definitions and distinctions among functional storage categories, reviewing where block, file, and object storage each excel.Operating principles for streaming data flows, including real-time pipeline mechanics, buffering, and event management.Proven approaches to system scaling, with frameworks for vertical and horizontal growth and clear diagrams illustrating partitioning and replication.Visual concept maps that tie together architecture choices, making system relationships easy to understand.Decision checklists for evaluating durability, consistency, throughput, and scaling capacity at critical design milestones.Failure pattern tables and comparative diagrams to quickly identify and address common bottlenecks or design missteps.Diagnostic templates and reference charts for live evaluation and troubleshooting, so you can adapt strategies as data volumes increase.Explanations of common bottlenecks and clear guides to preventing the most frequent system slowdowns and breakdowns. By the end of this guide, you'll be able to navigate the essentials of data-intensive systems with clarity. The diagrams, frameworks, and diagnostic tools provided will serve as your roadmap through the complexities of modern storage, streaming, and scaling, empowering you to plan and a Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 16,30
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 17,16
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 17,19
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Sports betting can quickly feel overwhelming when every wager is made on instinct or emotion. Many newcomers find themselves at the mercy of luck, placing scattered bets without a clear plan. This often results in erratic cash flow and a bankroll that vanishes before any real learning happen…s. To create real control, you need reliable systems that turn betting into a measured, managed process instead of a series of unsupported guesses.At the core of most early mistakes is the lack of a structured approach: beginners often do not know how much to bet, when to stop, or how to properly monitor their own activity. Without a plan, it's easy to let excitement from a big win, or frustration after a loss, guide decisions. This can escalate quickly. Sometimes, it means chasing losses by raising bets impulsively. Other times, it's simply betting at random or skipping essential record keeping. Unchecked, these habits don't just drain the bankroll; they erase any real ability to spot trends, adjust tactics, or build knowledge for the future.To stop this cycle, you must rely on concrete, enforceable rules. This guide is designed to provide exactly that structure, focusing entirely on helping you implement a 30-day unit-based staking system. Here, you will learn how to establish your initial betting bankroll, allocate bets using a standardized unit method, and frame every wager within clear, unbreakable risk thresholds. These steps ensure that each bet you place fits into a larger, well-defined plan. Discipline does not happen by accident; it comes from pre-defined rules that are objectively tracked day by day.Rather than offering gambling strategies or picking specific games and outcomes, this guide focuses only on the practical frameworks necessary for long-term sustainability. You will not find advice for "beating the bookies," exploiting odds, or psychological self-help.Likewise, while managing impulses is part of the broader context, this guide does not address gambling addiction counseling or the deeper emotional side of betting. The sole aim is to create a responsible and consistently applied decision-making framework that minimizes avoidable risk.Throughout this resource, you will learn how to: Set up a baseline bankroll specific to sports betting, separated clearly from your other financial activities.Implement a four-phase, 30-day staking plan using defined unit sizes so that every bet remains within a controlled range.Establish hard rules for risk limitation including daily, weekly, and total exposure limits that are never adjusted in the heat of the moment.Use simple yet robust templates for real-time tracking, so you always know exactly where you stand with wins, losses, and overall progress.Review and adapt your plan at key intervals, using measured, pre-set criteria rather than gut feel or recent results.Troubleshoot common pitfalls, such as creeping bet sizes or unlogged wagers, following step-by-step correction checklists to restore discipline and continuity. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
Contactar con el vendedorVendedor de 4 estrellasCondición: Nuevo
EUR 17,20
Gastos de envío gratisSe envía dentro de Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Condición: New. Print on Demand.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 19,98
Envío por EUR 60,72Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 16,63
Envío por EUR 3,85Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Librería: Rarewaves.com UK, London, Reino UnidoRarewaves.com UK
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 16,70
Envío por EUR 76,06Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback. Condición: New.
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Librería: THE SAINT BOOKSTORE, Southport, Reino UnidoTHE SAINT BOOKSTORE
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 16,32
Envío por EUR 13,75Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
Paperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 100.
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contactar con el vendedorVendedor de 5 estrellasCondición: Nuevo
EUR 24,06
Envío por EUR 32,52Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Business environments increasingly rely on AI tools for content generation, data summarization, and process automation. As this integration expands, even minor issues in the prompts used to control these tools can cause outsized problems. Unreliable prompts aren't just a technical inconvenie…nce; they undermine the accuracy of outputs, disrupt existing workflows, and introduce reputational risk that affects how stakeholders and clients perceive work products.Persistent prompt errors, if left unchecked, lead to a wide range of consequences for business operations. Inaccurate instructions can cause models to misinterpret tasks, produce unusable outputs, or repeatedly skip key steps. These errors slow down teams, force time-consuming manual corrections, and, in compliance-sensitive sectors, even create exposure to regulatory penalties or audit failures. Additionally, each prompt-related disruption can affect user trust in AI systems, making it harder for teams to rely on automated processes.With AI now handling operational, administrative, and client-facing tasks, the reliability of prompts becomes a key workflow concern. Bottlenecks often appear when ill-defined prompts block task progression, or when outputs lack consistency, requiring repeated intervention. In regulated industries, inconsistent instructions within prompts may trigger unintentional policy violations or generate outputs that fail legal, privacy, or quality requirements.To address these recurring pain points, systematic quality assurance (QA) methods tailored for prompt creation and review offer practical safeguards. A prompt QA method introduces disciplined checks at every stage: from initial drafting and structured formatting to diagnostic testing and post-deployment feedback collection. By employing standard formats and step-by-step review protocols, organizations can reduce the frequency and severity of prompt failures. The application of targeted diagnostics such as reviewing output consistency and detecting ambiguous phrasing lets teams catch issues early, before they evolve into larger disruptions.This guide focuses strictly on actionable techniques to reduce errors in work-related AI prompts. It deliberately leaves out advanced natural language processing (NLP) theory, complex coding practices such as prompt chaining, and vendor-specific tooling. The scope centers on workplace needs: ensuring reliable, predictable, and compliant AI responses by making prompts as robust as possible, regardless of the underlying AI model or software platform.In this guide, you will learn: How to practically identify and build robust prompt structures that hold up in real-world business use.Ways to systematically apply prompt pattern frameworks to design prompts that avoid common pitfalls such as ambiguity and drift.How to use an integrated review checklist to verify prompt completeness and clarify expected outcomes.Targeted techniques to spot typical red flags-hidden ambiguities, overloaded instructions, or compliance triggers-that often cause breakdowns in AI-assisted work.How to connect all these elements into a repeatable, efficient QA workflow that sustains prompt reliability as AI becomes further embedded in professional processes. This approach aims to promote clear, error-resistant prompts laying the foundation for more dependable, efficient, and trustworthy AI-enabled work. Master AI prompt engineering with practical techniques to ensure reliable, compliant, and efficient AI outputs in business environments. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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EUR 24,06
Envío por EUR 32,52Se envía de Australia a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Prediction markets are one of the fastest-growing corners of online trading.Polymarket sits at the center of that growth, offering a decentralized platform where users trade on the outcomes of real-world events using USDC, a cryptocurrency pegged to the US dollar. The concept is straightforw…ard. The setup is not.For beginners, the first obstacle is technical. Polymarket requires a self-custody crypto wallet before you can deposit a single dollar. Setting one up incorrectly means risking your funds or leaving yourself exposed to phishing attacks. Even after the wallet is ready, the platform uses terms and mechanics that take time to learn. Most beginners make costly errors in their first week, not because they lack judgment, but because they never had a clear roadmap.This guide is that roadmap. Written specifically for people who have never used Polymarket, never set up a crypto wallet, and never traded on a prediction market, it covers exactly what a new user needs for a safe and productive first seven days. Nothing more, nothing less.Following a structured, step-by-step approach, this guide walks you through the full setup process, from installing and securing a crypto wallet to funding it with USDC and connecting it to Polymarket. From there, it covers how to navigate the platform's interface, read and evaluate markets, interpret resolution rules, and understand the fees involved in each trade.More than a technical manual, this guide addresses the behavioral side of prediction market trading. It covers the most common emotional mistakes beginners make, including overcommitting funds, chasing losses, and misreading market rules in a rush to act. A structured daily routine for your first seven days and logbook tools to track trades and record your reasoning are built into the process.By the end of this guide, you will be able to set up and secure a self-custody crypto wallet, deposit USDC safely, navigate Polymarket's market listings, place and exit a trade with confidence, and recognize the warning signs of scams and unreliable markets. You will also have a first-week log of your decisions and outcomes, giving you a foundation to evaluate your own trading patterns as you continue.Designed for curious, practical learners who want to understand what they are doing before they risk real money, this guide prioritizes clarity and safety over speed. It is the guide that most Polymarket users wish they had found in their first hour on the platform. Master the world of prediction markets. This guide offers a safe, step-by-step roadmap to setting up your crypto wallet, navigating the platform, and making your first trades with confidence. Your essential seven-day plan to start smart. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
