
Explainable AI with Python - Gianfagna, Leonida; Di Cecco, Antonio
\nModel-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are…
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\nModel-agnostic methods for XAI are shown to produce explanations without relying on ML models internals that are…
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\nThis textbook for courses in Embedded Systems introduces students to necessary concepts, through a hands-on approach.…
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Daniel J. C. Kronauer brings to life the research surrounding army ants, nature\'s preeminent social hunters. Without…
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\nAn innovative introduction to the foundations of signals, systems, and transforms, emphasising discrete-time concepts, and…
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Part 1: Class Design.- Chapter 1: The Single Responsibility Principle.- Chapter 2: The Open/Closed Principle.- Chapter 3:…
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\nCreate Stunning Renders Using Corona in 3ds Max is a comprehensive step-by-step guide tailored for designers seeking to…
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\nMachine Learning is an integral tool in a business analyst\'s arsenal because the rate at which data is being generated…
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This first book to introduce the fundamentals of biometrics; it covers common modalities including fingerprint, face, iris,…
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Introductory Digital Signal Processing with Computer Applications Second Edition Paul A. Lynn formerly: Imperial College of…
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"The C++ Programming Language, Fourth Edition" od Bjarne Stroustrupa je definitivní referenční příručka a výukový program…
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\nIn this book, the author has condensed the material deemed essential for undergraduate and graduate students of physics…
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The definitive textbook for Power Systems students, providing a grounding in essential power system theory while also…
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\nWrite Powerful Rust Macros teaches you how to write, test, debug, and publish macros for Rust. It\'s perfect for Rust…
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F# in Action guides you from Functional Programming novice all the way to putting F# applications into production! It…
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\nBuilding on the basic tools presented in the first volume, this second volume of Foundations of Cryptography contains a…
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Intermediate Robot Building, Second Edition offers you the kind of real-world knowledge that only renowned author David Cook…
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Meant to be used for a one-semester course to build solid foundations in Java, Fundamentals of Java Programming eschews…
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Produkt Practical Machine Learning with Python - Sarkar, Dipanjan a Bali, Raghav a Sharma, Tushar zakoupíte na Bookshop.cz…
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\nChapters 6 and 7 present radial-basis function (RBF) networks and restricted Boltzmann machines. Advanced topics in neural…
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Designed with engineers in mind, this self-contained book will equip students with everything they need to apply machine…
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\nThis 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex…
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\nThis book demystifies how Kubernetes networking actually works by walking through a simple but practical simulation that…
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![Technika Bayesian Data Analysis for the Behavioral and Neural Sciences - Hudson, Todd E. (New York University) [EN] (2021, Měkká, Cambridge University Press)](/img/image-placeholder.png)
\nThis textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses…
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\nMachine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine…
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