What happens when the world’s greatest diamond heist meets the world of probability and statistics? In this captivating and conversational guide, the 2003 Antwerp Diamond Heist serves as a rich backdrop to explain the core concepts of probability and statistics for artificial intelligence. Through the lens of the heist, we’ll explore the deeper workings of Bayesian statistics, Markov Chains, and other powerful techniques, all while uncovering how these ideas apply to modern AI.
Though the storytelling makes the content light and engaging, the book never loses sight of the mathematical rigor needed to master these topics.
In this book, you’ll discover:
Intriguing Heist Narratives: Learn key concepts such as hypothesis testing, confidence intervals, and Bayesian reasoning, all embedded in the narrative of one of history's most notorious heists.
Advanced AI Techniques: Dive into Monte Carlo methods, Markov Chains, Gibbs sampling, the Metropolis-Hastings algorithm, and hierarchical Bayesian models—all tied back to the clever strategies of the heist.
Hands-On Learning: Understand the real-world application of statistical methods with accompanying code, designed to solidify each concept through practical exploration.
About the author
Jorge Brasil a mathematician with over a decade of experience in developing and deploying machine learning systems. My books are written in an conversational style with humour. They are rich in practical applications, enabling readers to not only grasp the concepts but also understand their real-world applications in the field of Data Science.
