Mathematics
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Expert Training
Game Theory Explained : A Mathematical Introduction with Optimization
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Expert Training
Quantum Algorithms A Survey of Applications and End-to-end Complexities
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Calculus II For Dummies: Advanced Math Made Easy
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Calculus For Dummies: Learn Calculus Concepts with Ease
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Algebra II Essentials: Key Concepts and Practice Problems
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Algebra I All-in-One For Dummies
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Wiley
Algebra II Workbook – Practice Problems & Solutions
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Understand Probability Concepts with This Beginner’s Guide
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Basic Math & Pre-Algebra All-in-One For Dummies
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Expert Training
Algebra II All-in-One: Complete Learning Resource
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John Wiley & Sons
Data Science Fundamentals With R, Python, and Open Data
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River Publishers
Advancing Edge Artificial Intelligence: System Contexts
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John Wiley & Sons
Data Science Fundamentals With R, Python, and Open Data
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Simon and Schuster
Graph Algorithms for Data Science: With Examples in Neo4j
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CRC Press
Data Science and Machine Learning for Non-Programmers: Using SAS Enterprise Miner
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CRC Press
Foundations of Data Science With Python
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CRC Press
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values
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IGI Global
Perspectives on Ethical Hacking and Penetration Testing
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University of Toronto Press
Cybersecurity Management: An Organizational and Strategic Approach
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CRC Press
Models for Multi-State Survival Data: Rates, Risks, and Pseudo-Values
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Simon and Schuster
Graph Algorithms for Data Science with Neo4j Examples
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John Wiley & Sons
Data Science Fundamentals with R, Python, and Open Data: A Practical Approach
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University of Toronto Press
Cybersecurity Management: An Organizational and Strategic Approach
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Lazy Programmer
Math 0-1 – Matrix Calculus in Data Science and Machine Learning
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De Gruyter
Mathematics of ML: Supervised Learning & Beyond (2024)
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Birkhäuser
Exercises in Applied Math: Info Theory, ML & Wavelets (2024)
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Expert Training
Mathematics for ML in Python: Theory & Applications (2024)
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Cambridge University Press
Mathematical Analysis of ML Algorithms: AI Theory & Proofs (2023)
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Springer
Kernel Methods for ML: 100 Math & Python Exercises (2022)
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Expert Training
Before Machine Learning Vol. 1: Linear Algebra for AI (2023)
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Mathematics & Computer Science, Volume 1: Advanced Computational Concepts (Scrivener Publishing, 2024)
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Mathematical Engineering of Deep Learning: AI & Computational Intelligence (CRC Press, 2024)
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Mathematics & Computer Science, Volume 2 (Scrivener Publishing, 2024)
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Many-Sorted Algebras for Deep Learning & Quantum Technology (Morgan Kaufmann Elsevier, 2024)
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Mathematics of Deep Learning: A Beginner’s Guide (De Gruyter, 2023)
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Deep Learning Through the Prism of Tensors: A New Perspective (2024)
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Mathematics for Machine Learning: Master Algorithms & Concepts
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Math 0‑1 Matrix Calculus in Data Science & Machine Learning
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Expert Training
Statistics and Calculus with Python: Comprehensive Mathematics Workshop
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No Starch Press
Doing Math with Python: Hands-on Exercises for Learning Math Programming
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