Artificial Intelligence Without Coding (17 Ergebnisse)

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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: new. Paperback. AI for Business: Strategies for Non-Technical ManagersEmpower your organization with the transformative potential of AI-no coding experience required. Why This Book?Are you a manager, director, or executive inspired by AI's possibilities but unsure how to apply them within your team or department? You're not alone. While AI promises to revolutionize customer engagement, process efficiency, and data-driven decisions, the technical jargon and rapidly evolving tools can intimidate even the savviest leader.AI for Business: Strategies for Non-Technical Managers is here to bridge that gap. Written in a concise, storytelling-driven style, this resource demystifies AI, showing you exactly how to integrate machine learning, predictive analytics, and data insights into your day-to-day operations-without requiring an advanced math or programming background. What You'll LearnClear & Jargon-Free ExplanationsGrasp the essential AI concepts-like deep learning, NLP, and edge computing-through accessible analogies and real-world examples.Discover how to identify high-impact AI opportunities in marketing, finance, HR, supply chain, and beyond.Step-by-Step Roadmaps & FrameworksPilot to Production: Learn proven, low-risk approaches for small experiments, followed by tips on enterprise-wide scaling.Governance & Ethics: Ensure your AI deployments remain compliant, transparent, and bias-free, even in heavily regulated sectors.Real-World Case Studies & Success StoriesRead about practical AI wins-like retailers boosting sales with demand forecasting, healthcare organizations reducing wait times, and banks thwarting fraud.Understand how leaders overcame data, culture, and budget challenges to drive AI transformations that truly stuck.Organizational PlaybookData Literacy & Upskilling: Discover how to spread data fluency across all teams-from frontline staff to senior executives-cultivating a shared AI culture.Inspiring Leadership: Learn how managers used empathy, open communication, and cross-functional teams to embed AI thinking and champion data-driven decisions. Who Should Read This?Mid- to Senior-Level Managers: If you oversee marketing, sales, operations, or finance and want to leverage AI to meet KPIs or strategic objectives.Executives & Board Members: Eager for an AI roadmap that ties directly to the company's bottom-line goals and sustainable growth.Team Leaders & Aspiring Innovators: Interested in fostering a data-centric culture without wading through complex technical manuals. How You'll BenefitAccelerate Your AI Roadmap: Translate corporate goals into impactful AI pilots-whether reducing customer churn, boosting supply chain efficiency, or discovering new product lines.Motivate Your Workforce: Learn how to create a safe-to-fail environment for experimentation, ensuring staff feel empowered to test out new ideas.Sustain Long-Term Value: Move beyond one-off projects to a scalable AI infrastructure, guided by a strong governance model that aligns with compliance and ethics standards. Ready to Begin Your AI Journey?AI for Business: Strategies for Non-Technical Managers invites you to step beyond buzzwords and into actionable frameworks and narratives that resonate with real-world challenges. Turn curiosity into confidence, confusion into clarity, and pilot projects into lo Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In.

Zustand: New.

Zustand: New. In.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: new. Paperback. AI for Business: Strategies for Non-Technical ManagersEmpower your organization with the transformative potential of AI-no coding experience required. Why This Book?Are you a manager, director, or executive inspired by AI's possibilities but unsure how to apply them within your team or department? You're not alone. While AI promises to revolutionize customer engagement, process efficiency, and data-driven decisions, the technical jargon and rapidly evolving tools can intimidate even the savviest leader.AI for Business: Strategies for Non-Technical Managers is here to bridge that gap. Written in a concise, storytelling-driven style, this resource demystifies AI, showing you exactly how to integrate machine learning, predictive analytics, and data insights into your day-to-day operations-without requiring an advanced math or programming background. What You'll LearnClear & Jargon-Free ExplanationsGrasp the essential AI concepts-like deep learning, NLP, and edge computing-through accessible analogies and real-world examples.Discover how to identify high-impact AI opportunities in marketing, finance, HR, supply chain, and beyond.Step-by-Step Roadmaps & FrameworksPilot to Production: Learn proven, low-risk approaches for small experiments, followed by tips on enterprise-wide scaling.Governance & Ethics: Ensure your AI deployments remain compliant, transparent, and bias-free, even in heavily regulated sectors.Real-World Case Studies & Success StoriesRead about practical AI wins-like retailers boosting sales with demand forecasting, healthcare organizations reducing wait times, and banks thwarting fraud.Understand how leaders overcame data, culture, and budget challenges to drive AI transformations that truly stuck.Organizational PlaybookData Literacy & Upskilling: Discover how to spread data fluency across all teams-from frontline staff to senior executives-cultivating a shared AI culture.Inspiring Leadership: Learn how managers used empathy, open communication, and cross-functional teams to embed AI thinking and champion data-driven decisions. Who Should Read This?Mid- to Senior-Level Managers: If you oversee marketing, sales, operations, or finance and want to leverage AI to meet KPIs or strategic objectives.Executives & Board Members: Eager for an AI roadmap that ties directly to the company's bottom-line goals and sustainable growth.Team Leaders & Aspiring Innovators: Interested in fostering a data-centric culture without wading through complex technical manuals. How You'll BenefitAccelerate Your AI Roadmap: Translate corporate goals into impactful AI pilots-whether reducing customer churn, boosting supply chain efficiency, or discovering new product lines.Motivate Your Workforce: Learn how to create a safe-to-fail environment for experimentation, ensuring staff feel empowered to test out new ideas.Sustain Long-Term Value: Move beyond one-off projects to a scalable AI infrastructure, guided by a strong governance model that aligns with compliance and ethics standards. Ready to Begin Your AI Journey?AI for Business: Strategies for Non-Technical Managers invites you to step beyond buzzwords and into actionable frameworks and narratives that resonate with real-world challenges. Turn curiosity into confidence, confusion into clarity, and pilot projec Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Zustand: New. Print on Demand.

Paperback. Zustand: New.

Zustand: New. Print on Demand.

Paperback. Zustand: new. Paperback. "The AutoML Edge: Creating High-Performance Trading Algorithms Without Coding" is a groundbreaking guide designed to demystify the world of algorithmic trading, making it accessible to readers of all backgrounds-whether you're a beginner, an intermediate trader, or an advanced market participant. This book offers a step-by-step approach to mastering AutoML (Automated Machine Learning) for creating trading algorithms without the need for deep technical knowledge or coding skills.By integrating real-world case studies, practical examples, and cutting-edge AutoML techniques, this book shows how traders can harness the power of automation and artificial intelligence to build, optimize, and scale sophisticated trading models that adapt to different market conditions and asset classes. Whether you're dealing with stocks, bonds, cryptocurrencies, or multi-asset portfolios, "The AutoML Edge" provides the tools and strategies to succeed. Key Content HighlightsIntroduction to AutoML in TradingUnderstand how AutoML simplifies the trading model development process, including automatic data preprocessing, model selection, and hyperparameter tuning. Learn the basics of AutoML platforms like H2O.ai, Google Cloud AutoML, and DataRobot.Developing Trading Algorithms without CodingLearn how to create high-performance trading models without needing to write complex code. AutoML automates the technical side, enabling you to focus on strategy and performance.Time-Series Forecasting and Market PredictionDelve into the challenges of working with time-series data such as stock prices and learn how to leverage AutoML for precise market predictions.Multi-Asset Portfolio ManagementExplore how to build, optimize, and manage multi-asset portfolios using AutoML. Get insights into asset diversification, risk management, and portfolio optimization strategies across stocks, bonds, and cryptocurrencies.Risk Management with AutoMLDiscover how to incorporate sophisticated risk metrics like Sharpe Ratio, Maximum Drawdown, and volatility-based stop-loss strategies directly into your AutoML models.Scaling AutoML for High-Frequency Trading (HFT)Learn how to deploy AutoML in high-frequency trading environments, optimizing for speed, scale, and execution efficiency across large datasets.Real-World Case StudiesStudy real-world examples of professional traders, hedge funds, and retail traders who have successfully implemented AutoML in their strategies, achieving consistent profits. Who Should Read This Book?Target Audience: Retail Traders: Individuals looking to elevate their trading strategies by incorporating advanced AI tools without needing to learn complex coding.Quantitative Analysts & Financial Professionals: Professionals seeking to streamline the model-building process using AutoML to reduce manual intervention and maximize trading efficiency.Algorithmic Trading Enthusiasts: Traders interested in automating trading strategies and incorporating cutting-edge technology into their processes.Data Scientists & AI/ML Enthusiasts: Those curious about applying machine learning and automation to financial markets, with a specific focus on real-world trading applications.Investors in Stocks, Bonds, Cryptocurrencies, and Multi-Asset Portfolios: Investors aiming to diversify their portfolios and optimize risk-adjusted returns using the latest advances in AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.