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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Graph Algorithms for Data Science
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Modern Fortran Explained : Incorporating Fortran 2023
Mr Michael (Formerly of CERN, Geneva, Switzerland) Metcalf
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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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TinyML Cookbook : Combine machine learning with microcontrollers to solve real-world problems
Gian Marco Iodice
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Introduction to Probability and Statistics for Data Science : with R
Steven E. (Saint Louis University, Missouri) Rigdon
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Pre-OrderDeep Learning, Machine Learning and IoT in Biomedical and Health Informatics : Techniques and Applications
Sujata (North Orissa University, Takatpur) Dash
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Kayvan (Virginia Commonwealth University, Richmond, USA) Najarian
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Data Mining for Co-location Patterns : Principles and Applications
Guoqing Zhou
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Amar (Malviya Nat Inst of Tech, Jaipur, India) Patnaik
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Counter-Intelligence : What the Secret World Can Teach Us About Problem-solving and Creativity
Robert Hannigan
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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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Douglas (University of Minnesota) Arnold
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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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Introduction To Linear Algebra : Computation, Application, and Theory
Mark J. (Manhattan College, USA) DeBonis
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Rashmi Gupta
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Introduction to Python : With Applications in Optimization, Image and Video Processing, and Machine Learning
David Baez-Lopez
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