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Systems Modeling: Methodologies and Tools (EAI/Springer Innovations in Communication and Computing)
Systems Modeling: Methodologies and Tools (EAI/Springer Innovations in Communication and Computing)

This book covers ideas, methods, algorithms, and tools for the in-depth study of the performance and reliability of dependable fault-tolerant systems. The chapters identify the current challenges that designers and practitioners must confront to ensure the reliability, availability, and performance of systems, with special focus on...

Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)
Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)
Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...
Recent Trends in Algebraic Combinatorics (Association for Women in Mathematics Series)
Recent Trends in Algebraic Combinatorics (Association for Women in Mathematics Series)
This edited volume features a curated selection of research in algebraic combinatorics that explores the boundaries of current knowledge in the field. Focusing on topics experiencing broad interest and rapid growth, invited contributors offer survey articles on representation theory, symmetric functions, invariant theory, and...
Relations and Kleene Algebra in Computer Science: 11th International Conference on Relational Methods in Computer Science, RelMiCS 2009, and 6th . . . ... Issues) (Lecture Notes in Computer Science)
Relations and Kleene Algebra in Computer Science: 11th International Conference on Relational Methods in Computer Science, RelMiCS 2009, and 6th . . . ... Issues) (Lecture Notes in Computer Science)
The book constitutes the joint refereed proceedings of the 11th International Conference on Relational Methods in Computer Science, RelMiCS 2009, and the 6th International Conference on Applications of Kleene Algebras, AKA 2009, held in Doha, Qatar in November 2009. The 22 revised full papers presented together with 2 invited papers were...
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks

Work with advanced topics in deep learning, such as optimization algorithms, hyper-parameter tuning, dropout, and error analysis as well as strategies to address typical problems encountered when training deep neural networks. You’ll begin by studying the activation functions mostly with a single neuron (ReLu, sigmoid, and...

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques
Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Build next-generation artificial intelligence systems with Java

Key Features

  • Implement AI techniques to build smart applications using Deeplearning4j
  • Perform big data analytics to derive quality insights using Spark MLlib
  • Create self-learning systems using...
Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library
Natural Language Processing with TensorFlow: Teach language to machines using Python's deep learning library

Write modern natural language processing applications using deep learning algorithms and TensorFlow

Key Features

  • Focuses on more efficient natural language processing using TensorFlow
  • Covers NLP as a field in its own right to improve understanding for choosing TensorFlow...
Numerical Methods Using MATLAB (3rd Edition)
Numerical Methods Using MATLAB (3rd Edition)
This introduction to numerical analysis shows how the mathematics of calculus and linear algebra are implemented in computer algorithms. It develops a deep understanding of why numerical methods work and exactly what their limitations are....
Computational Partial Differential Equations Using MATLAB (Textbooks in Mathematics)
Computational Partial Differential Equations Using MATLAB (Textbooks in Mathematics)

This textbook introduces several major numerical methods for solving various partial differential equations (PDEs) in science and engineering, including elliptic, parabolic, and hyperbolic equations. It covers traditional techniques that include the classic finite difference method and the finite element method as well as...

Discrete Mathematics With Algorithms
Discrete Mathematics With Algorithms
This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in...
Data Analytics for Engineering and Construction  Project Risk Management (Risk, Systems and Decisions)
Data Analytics for Engineering and Construction Project Risk Management (Risk, Systems and Decisions)

This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitioners aiming to develop, improve,...

Mathematics for IIT-JEE: Differential Calculus, Algebra, Trigonometry (Volume 1)
Mathematics for IIT-JEE: Differential Calculus, Algebra, Trigonometry (Volume 1)
This book contains theory and a large collection of about 7500 questions. In each chapter, theory is divided into Sections and questions are divided into Question Categories. For each Section there are one or more corresponding Question Category/ Categories in order to make this book more readable and more useful for the readers and students....
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