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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data. After explaining the need for causal models and discussing some of the principles underlying causal inference, the book teaches readers how to use causal models: how to compute intervention distributions, how to infer causal models from observational and interventional data, and how causal ideas could be exploited for cl...
This well-known pianist and teacher's guide to sound piano technique covers tone production, fingering, pedaling, chords, sight-reading, and more. Its 63 musical excerpts include works by such masters as Beethoven, Chopin, Schumann, Mendelssohn, and Liszt. Numerous exercises, complemented by 64 black-and-white photographs, demonstrate a variety of technical, stylistic, and musical approaches.
A collection of documents supplementing the companion series known as "Colonial records," which contain the Minutes of the Provincial council, of the Council of safety, and of the Supreme executive council of Pennsylvania.
The Witt Library of the Courtauld Institute of Art, London, is one of the world's greatest art history libraries. It contains some 1.7 million illustrations of the work of painters, draughtsmen, and engravers of the Western tradition, all of whom have been indexed by name, dates, and nationality. This new second edition of the Checklist of Painters is a transcription of the Witt index as it currently exists. The names of 66,000 artists, their dates, and their nationality (or school) are reproduced in alphabetical order. The Checklist of Painters is probably the most exhaustive work of its kind in existence; it now lists all painters (known by art historians) to have lived and worked from the year 1200 to 1994.