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Discrete Mathematics and Its Applications
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Foundations of Applied Machine Learning for Engineering Professionals
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Practice Makes Perfect: Algebra II Review and Workbook, Third Edition
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Mathematical Modeling and Applied Calculus
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R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
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Pure Mathematics for Beginners: A Rigorous Introduction to Logic, Set Theory, Abstract Algebra, Number Theory, Real Analysis, Topology, Complex Analysis, and Linear Algebra
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Large Language Models: Integrating Theoretical Foundations with Practical Applications
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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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Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python
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Nonlinear Dynamics and Chaos 3rd Edition
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Practical Guide to Applied Conformal Prediction in Python: Learn and apply the best uncertainty frameworks to your industry applications
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Qualitative Inquiry and Research Design: Choosing Among Five Approaches
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Mathematics for the Nonmathematician (Dover Books on Mathematics)
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Essential Mathematics for Quantum Computing: A beginner’s guide to just the math you need without needless complexities
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Schaum’s 3,000 Solved Problems in Calculus (Schaum’s Outlines)
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Blueprints: How Mathematics Shapes Creativity
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D3.js in Action, Third Edition
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Problem Solving Approach to Mathematics for Elementary School Teachers, A
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