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Calibre Library: Computer Science - 2025-06-01

This page is generated from a Calibre collection of Duc A. Hoang using the list-calibre-collection.py script. The listed materials have been gathered from various sources and they are used for personal reference only. Access to these materials via Google Drive is restricted due to possible copyright issues.
Book #1

Why Machines Learn

Authors: Anil Ananthaswamy

Publisher: Penguin Random House UK

Date: 2024-07-16 00:00:00+00:00

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Book #2

The Evolution of Everything: How New Ideas Emerge

Authors: Matt Ridley

Publisher: HarperCollins

Date: 2015-10-26 17:00:00+00:00

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Book #3

A System of Logic, Ratiocinative and Inductive

Authors: John Stuart Mill

Publisher: Global Grey ebooks

Date: 2023-05-01 23:00:00+00:00

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Book #4

Ideas That Created the Future

Authors: Harry R. Lewis

Publisher: MIT Press

Date: 2021-02-01 17:00:00+00:00

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Book #5

Artificial Intelligence: A Modern Approach, Global Edition

Authors: Stuart Russell; Peter Norvig

Publisher: Pearson Higher Ed

Date: 2021-04-14 17:00:00+00:00

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Book #6

Games for Your Mind: The History and Future of Logic Puzzles

Authors: Jason Rosenhouse

Publisher: Princeton University Press

Date: 2020-11-23 17:00:00+00:00

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Book #7

The Book of Why: The New Science of Cause and Effect

Authors: Judea Pearl; Dana Mackenzie

Publisher: Penguin UK

Date: 2018-05-14 17:00:00+00:00

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Book #8

The Power of Habit: Why We Do What We Do in Life and Business by Charles Duhigg | Conversation Starters

Authors: Dailybooks

Publisher: DailyBooks

Date: 2019-05-24 17:00:00+00:00

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Book #9

Scientific Paper Writing: A Survival Guide

Authors: Bodil Holst

Publisher: CreateSpace Independent Publishing Platform

Date: 2015-05-14 17:00:00+00:00

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Book #10

Modern Applications of Graph Theory

Authors: Vadim Zverovich

Publisher: Oxford University Press

Date: 2021-03-01 15:00:00+00:00

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