The Intelligence Behind the Intelligence : The Mathematics Powering Every AI Decision
Language: English
Published by Amazon Digital Services LLC - Kdp Aug 2026, 2026
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
Condition: New
US$ 49.18
Quantity: 2 available
Add to basketItem description from seller
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.…
Seller Inventory # 9798190383102
- Title
- The Intelligence Behind the Intelligence : The Mathematics Powering Every AI Decision
- Author
- Abdul Wadood
- Publisher
- Amazon Digital Services LLC - Kdp Aug 2026
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798190383102
- Item weight
- 172 grams
- Dimensions
- 229x152x7 mm
- Series
- Book 2 of 3: The Human Agency Series
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!
"Synopsis" may belong to another edition of this title.
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