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Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Deep Learning with Python: Learn Best Practices of Deep Learning Models with PyTorch
Master the practical aspects of implementing deep learning solutions with PyTorch, using a hands-on approach to understanding both theory and practice. This updated edition will prepare you for applying deep learning to real world problems with a sound theoretical foundation and practical know-how with PyTorch, a platform developed by...
Python Data Analysis
Python Data Analysis

Key Features

  • Find, manipulate, and analyze your data using the Python 3.5 libraries
  • Perform advanced, high-performance linear algebra and mathematical calculations with clean and efficient Python code
  • An easy-to-follow guide with realistic examples that are frequently used in real-world data...
Stochastic Coalgebraic Logic (Monographs in Theoretical Computer Science. An EATCS Series)
Stochastic Coalgebraic Logic (Monographs in Theoretical Computer Science. An EATCS Series)

Coalgebraic logic is an important research topic in the areas of concurrency theory, semantics, transition systems and modal logics. It provides a general approach to modeling systems, allowing us to apply important results from coalgebras, universal algebra and category theory in novel ways. Stochastic systems provide important tools for...

Handbook of Mathematical Formulas and Integrals, Fourth Edition
Handbook of Mathematical Formulas and Integrals, Fourth Edition
This book contains a collection of general mathematical results, formulas, and integrals that occur throughout applications of mathematics. Many of the entries are based on the updated fifth edition of Gradshteyn and Ryzhik’s ”Tables of Integrals, Series, and Products,” though during the preparation of the book, results were also...
Data Science Fundamentals for Python and MongoDB
Data Science Fundamentals for Python and MongoDB
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate....
Introduction to Partial Differential Equations (Undergraduate Texts in Mathematics)
Introduction to Partial Differential Equations (Undergraduate Texts in Mathematics)

This textbook is designed for a one year course covering the fundamentals of partial differential equations, geared towards advanced undergraduates and beginning graduate students in mathematics, science, engineering, and elsewhere. The exposition carefully balances solution techniques, mathematical rigor, and significant applications, all...

Automatic Quantum Computer Programming: A Genetic Programming Approach
Automatic Quantum Computer Programming: A Genetic Programming Approach
This is a book about the frontiers of computer science that have recently
been opened by work in quantum mechanics, but it is also a book
about the use of recently developed automatic programming technologies
to explore those frontiers. The automatic programming technologies
themselves issue from another interdisciplinary
...
Medical Imaging: Essentials for Physicians
Medical Imaging: Essentials for Physicians

"An excellent primer on medical imaging for all members of the medical profession . . . including non-radiological specialists. It is technically solid and filled with diagrams and clinical images illustrating important points, but it is also easily readable . . . So many outstanding chapters . . . The book uses little mathematics...

Computer Fundamentals and Programming in C
Computer Fundamentals and Programming in C

It provides a thorough understanding of the subject and its applications. The book begins with an introduction to the basic features of a digital computer, number systems and binary arithmetic, Boolean algebra and logic gates, software, operating systems, and the internet. A major part of the book provides a detailed coverage of programming...

Foundations of Robotics: Analysis and Control
Foundations of Robotics: Analysis and Control

Foundations of Robotics presents the fundamental concepts and methodologies for the analysis, design, and control of robot manipulators. It explains the physical meaning of the concepts and equations used, and it provides, in an intuitively clear way, the necessary background in kinetics, linear algebra, and control theory....

Statistical Methods, Second Edition
Statistical Methods, Second Edition

This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection....

Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Now in its third edition, Introduction to Robotics by John J. Craig provides readers with real-world practicality with underlying theory presented. With one half of the material from traditional mechanical engineering material, one fourth control theoretical material, and one fourth computer science, the book covers rigid-body...
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