Data science, IT

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  Data Mining: Concepts and Techniques (The Morgan Kaufmann Series in Data Management Systems)

  by Jiawei Han and Micheline Kamber edition

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  Starting Out with Python

  by Tony Gaddis edition

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  Logic, Mathematics, and Computer Science: Modern Foundations with Practical Applications

  by Yves Nievergelt edition

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  Beginning logic

  by E. J. Lemmon edition

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  Stochastic Neuron Models

  by Priscilla E. E. Greenwood and Lawrence M. Ward edition

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  Elementary probability theory with stochastic processes

  by Kai Lai Chung edition

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  Introduction to probability and random processes

  by Jorge Auñón, Jorge I. Aunon, and V. Chandrasekar edition

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  Humphry Clinker Penguin Classics

  by Tobias Smollett edition

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  Schaum's Statistics

  by Murray R. Spiegel, M. Spiegel, Larry Stephens, Schaum, and SPIEGEL edition

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  Schaum's outline of theory and problems of theoretical mechanics: with an introduction to Lagrange's equations and Hamiltonian theory

  by Murray R. Spiegel edition

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  Understanding SQL and Java together: a guide to SQLJ, JDBC, and related technologies

  by Jim Melton and Andrew Eisenberg edition

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  Software engineering: a practitioner's approach

  by Roger S. Pressman and Bruce Maxim edition

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  Software Development on a Leash (Expert's Voice)

  by David C. Birmingham edition

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  Python Basics: With Illustrations from the Financial Markets

  Unknown author edition

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