Knowledge, Search, and Inference (April 2022)
Knowledge, Search, and Inference: Natural Language Processing for Machine Intelligence (April 2022)
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 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 (April 2022, worldwide)
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