Essential Math for Data Science : Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics
Thomas Nield
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Proofs from THE BOOK
Martin Aigner
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Introduction Functional Programming : Introduction Functional Programming
Richard Bird
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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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Bayesian Methods for Hackers : Probabilistic Programming and Bayesian Inference
Cameron Davidson-Pilon
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Mathematics of Big Data : Spreadsheets, Databases, Matrices, and Graphs
Jeremy Kepner
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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 Mathematics for Computing
Rod Haggarty
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Introduction to the Theory of Computation
Michael (Massachusetts Institute of Technology) Sipser
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Quantum Computer Science : An Introduction
N. David (Cornell University, New York) Mermin
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Graph Theory
Reinhard Diestel
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Discrete and Combinatorial Mathematics : Pearson New International Edition
Ralph Grimaldi
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Data-Driven Science and Engineering : Machine Learning, Dynamical Systems, and Control
Steven L. (University of Washington) Brunton
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An Introduction to Mathematical Cryptography
Jeffrey Hoffstein
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Computability Theory
S. Barry Cooper
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Type Theory and Formal Proof : An Introduction
Rob (Technische Universiteit Eindhoven, The Netherlands) Nederpelt
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Machine Learning Pocket Reference : Working with Structured Data in Python
Matt Harrison
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Quantum Information Theory
Mark M. (Louisiana State University) Wilde
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MATLAB Deep Learning : With Machine Learning, Neural Networks and Artificial Intelligence
Phil Kim
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GIS Algorithms
Ningchuan Xiao
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Pytorch Pocket Reference : Building and Deploying Deep Learning Models
Joe Papa
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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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A First Course in Network Theory
Ernesto (Professor and Chair in Complexity Science, Professor Estrada
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