Books – Page 4 – Mathematical Digital

“Practice Makes Perfect: Algebra II Review and Workbook, Third Edition” has been added to your cart. View cart

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Large Language Models: Integrating Theoretical Foundations with Practical Applications
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Algebra and Trigonometry 4th Edition
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Trigonometry 8th Edition
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$Productive Math Struggle: A 6-Point Action Plan for Fostering Perseverance (Corwin Mathematics Series)$
Productive Math Struggle: A 6-Point Action Plan for Fostering Perseverance (Corwin Mathematics Series)
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Designing and Conducting Mixed Methods Research
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Introduction to Linear Algebra (Gilbert Strang, 5) 6th Edition
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How to Prove It: A Structured Approach
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Precalculus: Mathematics for Calculus 8th Edition
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$Numsense! Data Science for the Layman: No Math Added$
Numsense! Data Science for the Layman: No Math Added
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Calculus 9th Edition
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$Thinking Better: The Art of the Shortcut in Math and Life$
Thinking Better: The Art of the Shortcut in Math and Life
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Linear Algebra and Learning from Data
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$All the Math You Missed: (But Need to Know for Graduate School)$
All the Math You Missed: (But Need to Know for Graduate School)
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Introduction to Electrodynamics 5th Edition
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$Preschool Math at Home: Simple Activities to Build the Best Possible Foundation for Your Child (Math with Confidence)$
Preschool Math at Home: Simple Activities to Build the Best Possible Foundation for Your Child (Math with Confidence)
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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
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Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering, Second Edition (Studies in Nonlinearity)
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Nonlinear Dynamics and Chaos 3rd Edition
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Everything You Need to Ace Geometry in One Big Fat Notebook (Big Fat Notebooks)
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Schaum's Outline of Mathematical Handbook of Formulas and Tables, Fifth Edition (Schaum's Outlines)

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The Self-Taught Programmer: The Definitive Guide to Programming Professionally

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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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