Books – Mathematical Digital

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Building Thinking Classrooms in Mathematics: A Comprehensive Guide for Grades K-12 (3 book series)
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Causal Inference in R: Decipher complex relationships with advanced R techniques for data-driven decision-making
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$Math-ish: Finding Creativity, Diversity, and Meaning in Mathematics$
Math-ish: Finding Creativity, Diversity, and Meaning in Mathematics
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Schaum’s Outline of Mathematical Handbook of Formulas and Tables, Fifth Edition (Schaum’s Outlines)
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The Little Book of Mathematical Principles, Theories, & Things (IMM Lifestyle Books) Over 120 Laws, Principles, Equations, Paradoxes, and Theorems Explained Simply; Easy to Understand Math Reference
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Mathematics for the Nonmathematician (Dover Books on Mathematics)
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Mindset Mathematic (9 books)
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$Do Plants Know Math?: Unwinding the Story of Plant Spirals, from Leonardo da Vinci to Now$
Do Plants Know Math?: Unwinding the Story of Plant Spirals, from Leonardo da Vinci to Now
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Calculus 8th Edition
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Calculus with Multiple Variables Essential Skills Workbook: Includes Vector Calculus and Full Solutions
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Essential Calculus Skills Practice Workbook with Full Solutions
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Foundations of Modern Physics
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$Making Sense of Math: How to Help Every Student Become a Mathematical Thinker and Problem Solver (ASCD Arias)$
Making Sense of Math: How to Help Every Student Become a Mathematical Thinker and Problem Solver (ASCD Arias)
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Pre-calculus, Calculus, and Beyond
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$Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics$
Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
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Scalar, Vector, and Matrix Mathematics: Theory, Facts, and Formulas – Revised and Expanded Edition
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The Princeton Companion to Mathematics
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Basic Physics: A Self-Teaching Guide, 3rd Edition (Wiley Self-Teaching Guides) 3rd Edition
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Physical Mathematics 2nd Edition
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Foundations of Applied Machine Learning for Engineering Professionals
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Building Thinking Classrooms in Mathematics: A Comprehensive Guide for Grades K-12 (3 book series)

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Statistical Rethinking: A Bayesian Course with Examples in R and STAN (Chapman & Hall/CRC Texts in Statistical Science)

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