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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Foundation Mathematics for Computer Science : A Visual Approach
John Vince
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Analysis Of Complex Nonlinear Mechanical Systems, The: A Computer Algebra Assisted Approach (With Diskette Of Maple Programming)
Lesser Martin Lesser
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Statistical Learning with Math and Python : 100 Exercises for Building Logic
Joe Suzuki
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All the Math You Missed : (But Need to Know for Graduate School)
Thomas A. Garrity
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Sets, Logic and Maths for Computing
David Makinson
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An Invitation to Combinatorics
Shahriar (Pomona College, California) Shahriari
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Filtering and System Identification : A Least Squares Approach
Michel Verhaegen
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Verification and Validation in Scientific Computing
William L. Oberkampf
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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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Nonlinear Control Systems
Alberto Isidori
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Geometric Multiplication of Vectors : An Introduction to Geometric Algebra in Physics
Miroslav Josipovic
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The 9 Pitfalls of Data Science
Gary (Fletcher Jones Professor of Economics, Fletcher Jones Pro Smith
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All the Math You Missed : (But Need to Know for Graduate School)
Thomas A. Garrity
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Estimation with Applications to Tracking and Navigation : Theory Algorithms and Software
Yaakov Bar-Shalom
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Deep Generative Modeling
Jakub M. Tomczak
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Python for Probability, Statistics, and Machine Learning
Jose Unpingco
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Statistics for Data Scientists : An Introduction to Probability, Statistics, and Data Analysis
Maurits Kaptein
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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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Machine Learning
Zhi-Hua, PhD Zhou
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