Effective Machine Learning Teams : Best Practices for ML Practitioners
David Tan
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Math and Architectures of Deep Learning
Krishnendu Chaudhury
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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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Introduction to Quantum Computing : From a Layperson to a Programmer in 30 Steps
Hiu Yung Wong
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Linear Algebra for Data Science, Machine Learning, and Signal Processing
Jeffrey A. (University of Michigan, Ann Arbor) Fessler
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Data Mining for Co-location Patterns : Principles and Applications
Guoqing Zhou
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Introduction To Linear Algebra : Computation, Application, and Theory
Mark J. (Manhattan College, USA) DeBonis
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Artificial Intelligence and Causal Inference
Momiao (University of Texas School of Public Health, USA) Xiong
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A Gentle Introduction to Scientific Computing
Dan (University of Wyoming, USA) Stanescu
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Mathematical Sciences and Applications : Proceedings of the International Conference on Mathematical Sciences and Applications (ICMSA 2023)
Sanjay Chaudhary
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Decentralized Music : Exploring Blockchain for Artistic Research
Paulo De Assis
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Crypto Millionaires : Blockchain: A Chance for All?
Mateusz Mach
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Python : A Practical Learning Approach
T.S. (Govt. College of Engineering Srirangam, Tamil Nadu) Murugesh
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Resistance Money : A Philosophical Case for Bitcoin
Andrew M. (Yale-NUS College, Singapore) Bailey
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Mathematik fur die Informatik : Grundlegende Begriffe, Strukturen und Anwendungen
Rudolf Berghammer
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Intelligent Optimization : Principles, Algorithms and Applications
Changhe Li
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Advanced Mathematical Science for Mobility Society
Kazushi Ikeda
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Graph Algorithms for Data Science : With examples in Neo4j
Tomaz Bratanic
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Computer Vision : Statistical Models for Marr's Paradigm
Song-Chun Zhu
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