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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Absolute Essentials of Ethereum
Paul Dylan-Ennis
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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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Counter-Intelligence : What the Secret World Can Teach Us About Problem-solving and Creativity
Robert Hannigan
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Metaheuristic Algorithms : Theory and Practice
Gai-Ge Wang
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Metaheuristic Algorithms : Theory and Practice
Gai-Ge Wang
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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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A Practical Guide to Data Analysis Using R : An Example-Based Approach
John H. (Statistics Research Associates, Wellington, New Z Maindonald
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Graph Algorithms for Data Science : With examples in Neo4j
Tomaz Bratanic
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The French School of Programming
Bertrand Meyer
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Matrix Algebra : Theory, Computations and Applications in Statistics
James E. Gentle
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Computability and Complexity : Foundations and Tools for Pursuing Scientific Applications
Rod Downey
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Structures of Computing : A Guide to Practice-Oriented Theory
Egon Borger
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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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