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Elements of Causal Inference: Foundations and Learning Algorithms 2017 HC
- Item No : 335879612454
- Condition : Very Good
- Brand : No brand Info
- Seller : deezsctrojan
- Current Bid : US $25.00
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* Item Description
- Dive into the intricate world of causal inference with "Elements of Causal Inference: Foundations and Learning Algorithms," a rigorous examination of this fundamental concept by authors Jonas Peters, Dominik Janzing, and Bernhard Scholkopf. Published by MIT Press in 2017 as part of the Adaptive Computation and Machine Learning Series, this hardcover edition is an essential addition to the libraries of students and professionals alike, offering 288 pages of in-depth exploration. Crafted for readers with a background in computer science, mathematics, and philosophy, this textbook spans various subjects including programming, algorithms, and artificial intelligence. Its dimensions make it a comfortable size for study sessions and late-night reviews, measuring 9.3 inches in length, 7.2 inches in width, and 0.9 inches in height, with a weight of 30 ounces that makes it portable yet substantial.
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