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Bayesian Networks in R: with Applications in Systems Biology (Use R!)
Bayesian Networks in R: with Applications in Systems Biology (Use R!)
While there have been significant advances in capturing data from the entities across complex real-world systems, their associations and relationships are largely unknown. Associations between the entities may reveal interesting system-level properties that may not be apparent otherwise. Often these associations are hypothesized...
Object-Oriented JavaScript: Learn everything you need to know about object-oriented JavaScript (OOJS), 3rd Edition
Object-Oriented JavaScript: Learn everything you need to know about object-oriented JavaScript (OOJS), 3rd Edition

Learn everything you need to know about object-oriented JavaScript with this comprehensive guide. Enter the world of cutting-edge development!

Key Features

  • This book has been updated to cover all the new object-oriented features introduced in ECMAScript 6
  • It makes object-oriented...
Algorithms in Combinatorial Design Theory (Mathematics Studies)
Algorithms in Combinatorial Design Theory (Mathematics Studies)
Recent years have seen an explosive growth in research in combinatorics and graph theory. One primary factor in this rapid development has been the advent of computers, and the parallel study of practical and efficient algorithms. This volume represents an attempt to...
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning
TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Python: Master the Art of Design Patterns
Python: Master the Art of Design Patterns

About This Book

  • Learn all about abstract design patterns and how to implement them in Python 3
  • Understand the structural, creational, and behavioral Python design patterns
  • Get to know the context and application of design patterns to solve real-world problems in software...
A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)
A VLSI Architecture for Concurrent Data Structures (The Springer International Series in Engineering and Computer Science)
Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu­ nication into data structures. This thesis develops a notation for describing concurrent data structures, presents examples of concurrent data structures, and describes an architecture to support...
Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging (Lecture Notes in Computational Vision and Biomechanics)
Digital Geometry Algorithms: Theoretical Foundations and Applications to Computational Imaging (Lecture Notes in Computational Vision and Biomechanics)
Digital geometry emerged as an independent discipline in the second half of the last century. It deals with geometric properties of digital objects and is developed with the unambiguous goal to provide rigorous theoretical foundations for devising new advanced approaches and algorithms for various problems of visual computing. Different aspects...
Beginning SQL Server R Services: Analytics for Data Scientists
Beginning SQL Server R Services: Analytics for Data Scientists

Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an...

Mathematics of Discrete Structures for Computer Science
Mathematics of Discrete Structures for Computer Science

Mathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness,...

Kernel Smoothing: Principles, Methods and Applications
Kernel Smoothing: Principles, Methods and Applications

Comprehensive theoretical overview of kernel smoothing methods with motivating examples

Kernel smoothing is a flexible nonparametric curve estimation method that is applicable when parametric descriptions of the data are not sufficiently adequate. This book explores theory and methods of kernel smoothing in a variety of...

Pro PowerShell for Database Developers
Pro PowerShell for Database Developers

Pro PowerShell for Database Developers helps you master PowerShell application development by continuing where other books leave off. There are no "Hello World" functions here, just real-world examples that get down to business. Develop and deploy database and ETL applications in a reusable framework. Read from any...

Software Abstractions: Logic, Language, and Analysis
Software Abstractions: Logic, Language, and Analysis

As a programmer working for Logica UK in London in the mid-1980’s, I became a passionate advocate of formal methods. Extrapolating from small successes with VDM and JSP, I was sure that widespread use of formal methods would bring an end to the software crisis.

One approach especially intrigued me. John Guttag and Jim...

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