Although enterprise mobility is in high demand across domains, an absence of experts who have worked on enterprise mobility has resulted in a lack of...
A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods....
A Concise Handbook of Mathematics, Physics, and Engineering Sciences takes a practical approach to the basic notions, formulas, equations, problems, theorems, methods, and laws that...
A studentfriendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater...
Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in...
A Concise Introduction to Programming in Python, Second Edition provides a handson and accessible introduction to writing software in Python, with no prior programming experience...
Based on the authors juniorlevel undergraduate course, this introductory textbook is designed for a course in mathematical physics. Focusing on the physics of oscillations and...
Based On The Authors Juniorlevel Undergraduate Course, This Introductory Textbook Is Designed For A Course In Mathematical Physics. Focusing On The Physics Of Oscillations And...
A Course in Real Analysis provides a rigorous treatment of the foundations of differential and integral calculus at the advanced undergraduate level. The books material...
An introduction to the theory of fuzzy sets. This volume provides background information necessary to apply fuzzy set theory in various areas, including engineering fuzzy...
A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and...
A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and...
Wavelet theory had its origin in quantum field theory, signal analysis, and function space theory. In these areas waveletlike algorithms replace the classical Fouriertype expansion...
Wavelet theory had its origin in quantum field theory, signal analysis, and function space theory. In these areas waveletlike algorithms replace the classical Fouriertype expansion...
This one of a kind collections of plots will prove invaluable for applied and theoretical statisticians, engineers, graduate and undergraduate students in these fields, particularly...
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Although enterprise mobility is in high demand across domains, an absence of experts who have worked on enterprise mobility has resulted in a lack of...
A Computational Approach to Statistical Learning gives a novel introduction to predictive modeling by focusing on the algorithmic and numeric motivations behind popular statistical methods....
A Concise Handbook of Mathematics, Physics, and Engineering Sciences takes a practical approach to the basic notions, formulas, equations, problems, theorems, methods, and laws that...
A studentfriendly text, A Concise Introduction to Data Structures Using Java takes a developmental approach, starting with simpler concepts first and then building toward greater...
Image recognition has become an increasingly dynamic field with new and emerging civil and military applications in security, exploration, and robotics. Written by experts in...
A Concise Introduction to Programming in Python, Second Edition provides a handson and accessible introduction to writing software in Python, with no prior programming experience...
Based on the authors juniorlevel undergraduate course, this introductory textbook is designed for a course in mathematical physics. Focusing on the physics of oscillations and...
Based On The Authors Juniorlevel Undergraduate Course, This Introductory Textbook Is Designed For A Course In Mathematical Physics. Focusing On The Physics Of Oscillations And...
A Course in Real Analysis provides a rigorous treatment of the foundations of differential and integral calculus at the advanced undergraduate level. The books material...
An introduction to the theory of fuzzy sets. This volume provides background information necessary to apply fuzzy set theory in various areas, including engineering fuzzy...
A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and...
A First Course in Machine Learning by Simon Rogers and Mark Girolami is the best introductory book for ML currently available. It combines rigor and...
Wavelet theory had its origin in quantum field theory, signal analysis, and function space theory. In these areas waveletlike algorithms replace the classical Fouriertype expansion...
Wavelet theory had its origin in quantum field theory, signal analysis, and function space theory. In these areas waveletlike algorithms replace the classical Fouriertype expansion...
This one of a kind collections of plots will prove invaluable for applied and theoretical statisticians, engineers, graduate and undergraduate students in these fields, particularly...
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