Modern Fortran Explained : Incorporating Fortran 2023
Mr Michael (Formerly of CERN, Geneva, Switzerland) Metcalf
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Graph Algorithms for Data Science
Tomaz Bratanic
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Math For Security : From Graphs and Geometry to Spatial Analysis
Daniel Reilly
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Enumerative Combinatorics: Volume 2
Richard (Massachusetts Institute of Technology) Stanley
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Matrix Algebra : Theory, Computations and Applications in Statistics
James E. Gentle
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Cryptanalysis
Helen Fouche Gaines
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Essential Maths Skills for AS/A Level Computer Science
Victoria Ellis
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Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Thomas Nield
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All the Math You Missed : (But Need to Know for Graduate School)
Thomas A. (Williams College, Massachusetts) Garrity
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Regression Modeling Strategies : With Applications to Linear Models, Logistic and Ordinal Regression, and Survival Analysis
Jr., Frank E. Harrell
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An Intermediate Course in Probability
Allan Gut
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Discrete and Combinatorial Mathematics : Pearson New International Edition
Ralph Grimaldi
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GIS Algorithms
Ningchuan Xiao
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AQA GCSE 9-1 Maths Higher Practice Papers : Ideal for the 2024 and 2025 Exams
Collins GCSE
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All of Statistics : A Concise Course in Statistical Inference
Larry Wasserman
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Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications
Laura Igual
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Foundation Mathematics for Computer Science : A Visual Approach
John Vince
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Statistical Learning with Math and Python : 100 Exercises for Building Logic
Joe Suzuki
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An Invitation to Combinatorics
Shahriar (Pomona College, California) Shahriari
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Geometric Multiplication of Vectors : An Introduction to Geometric Algebra in Physics
Miroslav Josipovic
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Nonlinear Control Systems
Alberto Isidori
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The 9 Pitfalls of Data Science
Gary (Fletcher Jones Professor of Economics, Fletcher Jones Pro Smith
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Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis
Maurits Kaptein
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