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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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Linear Selection Indices in Modern Plant Breeding
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Python Feature Engineering Cookbook
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key Features Discover solutions for feature generation, featu...
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Variant Construction from Theoretical Foundation to Applications
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View Book →Introduction to Media Computation
No description available....
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
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Fractional Graph Theory
A Rational Approach to the Theory of Graphs...
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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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Fluent Python
Explains how to write idiomatic, effective Python code by leveraging its best features. Python's simplicity quickly lets you become productive with it, but this often means you aren't using everything...
View Book →Vector Calculus with Maple
No description available....
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Fundamentals of Biomechanics
Equilibrium, Motion, and Deformation...
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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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Finite Difference Computing with PDEs
A Modern Software Approach...
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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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...
View Book →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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Biodiversity and Health in the Face of Climate Change
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Software for Exascale Computing - SPPEXA 2016-2019
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Interface Oral Health Science 2016
Innovative Research on Biosis–Abiosis Intelligent Interface...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Foundations of Machine Learning
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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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Anisotropy Across Fields and Scales
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Developing Graphics Frameworks with Python and OpenGL
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Sensitivity Analysis: Matrix Methods in Demography and Ecology
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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Inkscape 0.48 Illustrator's Cookbook
Annotation Inkscape is an open source vector graphics editor with an intuitive user interface that has enough depth to make quality graphic designs with an attractive layout comparable to what you wou...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
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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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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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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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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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Bayesian Methods in the Search for MH370
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Algorithmic Graph Theory and Sage
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Russia's Turn to the East
Domestic Policymaking and Regional Cooperation...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Understanding Machine Learning
From Theory to Algorithms...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Representation Learning for Natural Language Processing
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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 ...
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...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
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Problems in Classical Electromagnetism
157 Exercises with Solutions...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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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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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Foundations of Quantum Theory
From Classical Concepts to Operator Algebras...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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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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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Introduction to Computing and Programming in Python, A Multimedia Approach, Second Edition
No description available....
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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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Signal Computing
Digital Signals in the Software Domain...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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