Knowledge, Search, and Inference (October 2021)
Knowledge, Search, and Inference: Natural Language Processing for Machine Intelligence (October 2021)
We live in a data-intensive, data-driven world. Dealing with the glut of information that comes our way, organizing it, and making sense of it—these activities are important in our work and personal lives.
Knowledge, Search, and Inference introduces knowledge representation, natural language processing, and automated reasoning. With a focus on practical applications and systems implementation, the book shows how data science and engineering can facilitate knowledge discovery.
Thomas W. Miller and Shreenidhi Bharadwaj, data scientists with decades of experience, show how to apply machine learning models to analyze social interactions, make recommendations, track events and processes, detect anomalies and fraud, and draw inferences from spatial and time-series data.
The book builds on the introduction to data science provided by Miller's Machine Learning and Intelligence.
The book includes challenging exercises with answers to facilitate self-study.
Cover art: Joan Miró's The Birth of Day (1968)
© Successió Miró / Artists Rights Society (ARS), New York / ADAGP, Paris 2020
Electronic Version $56.00 (October 2021, worldwide)
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