Math and Architectures of Deep Learning
Krishnendu Chaudhury
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Math For Security : From Graphs and Geometry to Spatial Analysis
Daniel Reilly
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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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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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Introduction to Data Science : A Python Approach to Concepts, Techniques and Applications
Laura Igual
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An Introduction to Python Programming for Scientists and Engineers
Johnny Wei-Bing Lin
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Statistical Learning with Math and Python : 100 Exercises for Building Logic
Joe Suzuki
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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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Python for Probability, Statistics, and Machine Learning
Jose Unpingco
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Logical Methods : The Art of Thinking Abstractly and Mathematically
Roger Antonsen
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Linear Algebra And Optimization With Applications To Machine Learning - Volume Ii: Fundamentals Of Optimization Theory With Applications To Machine Learning
Jean H (Univ Of Pennsylvania, Usa) Gallier
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Probability and Statistics for Computer Scientists
Michael (American University, Washington, DC) Baron
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The Nature of Complex Networks
Sergey N. (Researcher, Researcher, Department of Physics, Dorogovtsev
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A Course in Mathematical Statistics and Large Sample Theory
Rabi Bhattacharya
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Scientific Computing : For Scientists and Engineers
Timo Heister
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