Math and Architectures of Deep Learning
Krishnendu Chaudhury
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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
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Modern Fortran Explained : Incorporating Fortran 2023
Mr Michael (Formerly of CERN, Geneva, Switzerland) Metcalf
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Counter-Intelligence : What the Secret World Can Teach Us About Problem-solving and Creativity
Robert Hannigan
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Foundations of Vector Retrieval
Sebastian Bruch
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Probabilistic Indexing for Information Search and Retrieval in Large Collections of Handwritten Text Images
Alejandro Hector Toselli
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Cryptanalysis
Helen Fouche Gaines
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Discrete and Combinatorial Mathematics : Pearson New International Edition
Ralph P. Grimaldi
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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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The Algorithm Design Manual
Steven S. Skiena
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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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All of Statistics : A Concise Course in Statistical Inference
Larry Wasserman
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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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First Course in Statistical Programming with R
W. John Braun
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An Intermediate Course in Probability
Allan Gut
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Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications
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An Introduction to Python Programming for Scientists and Engineers
Johnny Wei-Bing Lin
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Foundation Mathematics for Computer Science : A Visual Approach
John Vince
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