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  • Data Science for Public Policy

    Series series Mathematics and Statistics (R0)
    This textbook presents the essential tools and core concepts of data science to public officials, policy analysts, and economists among others in order to further their application in the public sector. An expansion of the quantitative economics frameworks presented in policy and business schools, this book emphasizes the process of asking relevant questions to inform public policy. Its techniques ... Read more

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  • Sintering Technology

    Based on the sintering conference held at the Pennsylvania State University, USA, this text presents advances in the application of sintering to the most important industrial materials. It offers results on both solid-state and microphase sintering as well as microstructure evolution, and introduces new applications, processes, materials and solutions to technical problems. ... Read more

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    What You Need to Know about Data Mining and Data-Analytic Thinking

    Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect. This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course ... Read more

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  • Properties of Polymers

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    This authoritative, widely cited book has been used all over the world. Properties of Polymers, Fourth Edition incorporates the latest developments in the field while maintaining the core objectives of previous editions: to correlate properties with chemical structure and to describe methods that permit the estimation and prediction of numerical properties from chemical structure, i.e. nearly all ... Read more

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  • Data Mining Techniques

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  • Combustion

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  • Machine Learning with R

    R gives you access to the cutting-edge software you need to prepare data for machine learning. No previous knowledge required – this book will take you methodically through every stage of applying machine learning.

    by Brett Lantz ...
    Written as a tutorial to explore and understand the power of R for machine learning. This practical guide that covers all of the need to know topics in a very systematic way. For each machine learning approach, each step in the process is detailed, from preparing the data for analysis to evaluating the results. These steps will build the knowledge you need to apply them to your own data science ... Read more

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  • Head First Data Analysis

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    Today, interpreting data is a critical decision-making factor for businesses and organizations. If your job requires you to manage and analyze all kinds of data, turn to Head First Data Analysis, where you'll quickly learn how to collect and organize data, sort the distractions from the truth, find meaningful patterns, draw conclusions, predict the future, and present your findings to others ... Read more

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  • Introduction to the High Temperature Oxidation of Metals

    A straightforward treatment describing the oxidation processes of metals and alloys at elevated temperatures. This 2006 second edition retains the fundamental theory but incorporates advances made in understanding degradation phenomena. The first half provides an authoritative introduction to the basic principles, covering thermodynamics and mechanisms of high temperature corrosion of metals and ... Read more

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  • Machine Learning For Beginners Guide Algorithms: Supervised & Unsupervsied Learning. Decision Tree & Random Forest Introduction

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  • Handbook for Cleaning for Semiconductor Manufacturing

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    Provides an In-depth discussion of surface conditioning for semiconductor applicationsThe Handbook of Cleaning for Semiconductor Manufacturing: Fundamentals and Applications provides an in-depth discussion of surface conditioning for semiconductor applications. The fundamental physics and chemistry associated with wet processing is reviewed as well as surface and colloidal aspects of cleaning and ... Read more

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  • Essential Math for Data Science

    Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics

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    Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those ... Read more

    $57.99 CAD