ISBN: 9798190383102 - the intelligence behind the intelligence: the mathematics powering every ai decision: 2 (6 risultati)

Taschenbuch. Condizione: Neu. Neuware - Can you trust an AI model you don't mathematically understand For non-technical managers, executives, and decision-makers, artificial intelligence is often treated as a black box. But when algorithmic models fail, the consequences are felt in the real world - from hiring biases to massive corporate compliance risks. You do not need to write code to protect your organization; you need to understand the underlying geometry of the machine. In 'The Intelligence Behind the Intelligence', you will discover a clear, intuitive guide to AI governance and risk management, written specifically for business leaders who need to audit algorithms without getting lost in complex programming. WHAT YOU WILL MASTER INSIDE: \* The Geometry of Data: Understand how neural networks, vector embeddings, and loss functions actually work - visualized conceptually without coding. \* Case Study Audits: A deep dive into real-world failures, including the famous Amazon hiring bias case, to learn how data bias is introduced and detected. \* Actionable Risk Frameworks: How to transition from blind trust to rigorous mathematical literacy, ensuring your corporate compliance standards are met. \* Performance Report Cards: How to accurately evaluate model precision, recall, and AUC-ROC curves to stop errors before they reach production. WHO THIS BOOK IS FOR: Whether you are a corporate executive, risk manager, consultant, or an aspiring AI practitioner, this book bridges the critical gap between high-level business strategy and technical machine learning architecture. Stop guessing. Start auditing. Scroll up and secure your copy to master the intelligence behind the intelligence today. …

Paperback. Condizione: new. Paperback. Can you trust an AI model you don't mathematically understand? For non-technical managers, executives, and decision-makers, artificial intelligence is often treated as a black box. But when algorithmic models fail, the consequences are felt in the real world - from hiring biases to massive corporate compliance risks. You do not need to write code to protect your organization; you need to understand the underlying geometry of the machine. In "The Intelligence Behind the Intelligence", you will discover a clear, intuitive guide to AI governance and risk management, written specifically for business leaders who need to audit algorithms without getting lost in complex programming. WHAT YOU WILL MASTER INSIDE: * The Geometry of Data: Understand how neural networks, vector embeddings, and loss functions actually work - visualized conceptually without coding. * Case Study Audits: A deep dive into real-world failures, including the famous Amazon hiring bias case, to learn how data bias is introduced and detected. * Actionable Risk Frameworks: How to transition from blind trust to rigorous mathematical literacy, ensuring your corporate compliance standards are met. * Performance Report Cards: How to accurately evaluate model precision, recall, and AUC-ROC curves to stop errors before they reach production. WHO THIS BOOK IS FOR: Whether you are a corporate executive, risk manager, consultant, or an aspiring AI practitioner, this book bridges the critical gap between high-level business strategy and technical machine learning architecture. Stop guessing. Start auditing. Scroll up and secure your copy to master the intelligence behind the intelligence today! This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Can you trust an AI model you don't mathematically understand? For non-technical managers, executives, and decision-makers, artificial intelligence is often treated as a black box. But when algorithmic models fail, the consequences are felt in the real world - from hiring biases to massive corporate compliance risks. You do not need to write code to protect your organization; you need to understand the underlying geometry of the machine. In "The Intelligence Behind the Intelligence", you will discover a clear, intuitive guide to AI governance and risk management, written specifically for business leaders who need to audit algorithms without getting lost in complex programming. WHAT YOU WILL MASTER INSIDE: * The Geometry of Data: Understand how neural networks, vector embeddings, and loss functions actually work - visualized conceptually without coding. * Case Study Audits: A deep dive into real-world failures, including the famous Amazon hiring bias case, to learn how data bias is introduced and detected. * Actionable Risk Frameworks: How to transition from blind trust to rigorous mathematical literacy, ensuring your corporate compliance standards are met. * Performance Report Cards: How to accurately evaluate model precision, recall, and AUC-ROC curves to stop errors before they reach production. WHO THIS BOOK IS FOR: Whether you are a corporate executive, risk manager, consultant, or an aspiring AI practitioner, this book bridges the critical gap between high-level business strategy and technical machine learning architecture. Stop guessing. Start auditing. Scroll up and secure your copy to master the intelligence behind the intelligence today! This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …