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Signal Computing
Digital Signals in the Software Domain...
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Developing Graphics Frameworks with Python and OpenGL
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Bayesian Methods in the Search for MH370
...
View Book →Machine Learning with Python Cookbook
This practical guide provides more than 200 self-contained recipes to help you solve machine learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, in...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
View Book →Introduction to Computing and Programming in Python
Guzdial introduces programming as a way of creating and manipulating mediaa context familiar and intriguing to today's readers.Starts readers with actual programming early on. Puts programming in a re...
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Linear Selection Indices in Modern Plant Breeding
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View Book →Python 2.6 Graphics Cookbook
Annotation Python is a great object-oriented and interactive programming language that lets you develop graphics, both static and animated, using built-in vector graphics functions that are provided w...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
View Book →Vector Math for 3D Computer Graphics
This is a tutorial on vector algebra and matrix algebra from the viewpoint of computer graphics. It covers most vector and matrix topics needed for college-level computer graphics text books. Most gra...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Foundations of Machine Learning
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View Book →Vector Calculus with Maple
No description available....
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Representation Learning for Natural Language Processing
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View Book →Applying Math with Python
Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific libraries Key...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Python Machine Learning Cookbook
Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key Features Learn and implement machine learning a...
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Algorithmic Graph Theory and Sage
...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Understanding Machine Learning
From Theory to Algorithms...
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Biodiversity and Health in the Face of Climate Change
...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
View Book →Scalable Vector Graphics
SVG is a language much like HTML that lets you build complex vector graphics for browsers and more. We’ll discuss the difference between raster and vector graphic and how to add vectors to HTML page...
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Getting Started in Machine Learning
This is an introductory book in machine learning with a hands on approach. It uses Python 3 and Jupyter notebooks for all applications. The emphasis is primarily on learning to use existing libraries ...
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Anisotropy Across Fields and Scales
...
View Book →RAG with Python Cookbook
DESCRIPTION Retrieval-augmented generation (RAG) has emerged as a critical technology in an era where organizations rely on accurate, context-aware AI systems. As LLMs expand across industries, RAG en...
View Book →Introduction to Computing and Programming in Python, A Multimedia Approach, Second Edition
No description available....
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Software for Exascale Computing - SPPEXA 2016-2019
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View Book →Vector C - a Vector Processing Language
No description available....
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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Variant Construction from Theoretical Foundation to Applications
...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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QGIS Python Programming Cookbook
No description available....
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
View Book →Vector Databases in Action
Vector databases represent the foundational layer for modern, meaning-aware AI applications. They overcome the limitations of traditional keyword search by storing unstructured data (text, images, aud...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
View Book →Learning Vector Space Models with SpaCy
"Information representation is a fundamental aspect of computational linguistics and learning from unstructured data. This course explores vector space models, how they're used to represent the meanin...
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
View Book →Introduction to Media Computation
No description available....
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Python Recipes for Earth Sciences
Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This...
View Book →QGIS Python Programming Cookbook - Second Edition
Master over 170 recipes that will help you turn QGIS from a desktop GIS tool into a powerful automated geospatial frameworkAbout This Book* Delve into the undocumented features of the QGIS API* Get a ...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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