ａｎ - Artificial Intelligence 13

This book delivers a methodological approach on the experimentation and/or simulation processes from the disclaiming hypothesis on a physical phenomenon to the validation of the results. The main be……続きを見る

Implement machine learning and deep learning methodologies to build smart, cognitive AI projects using Python Key Features A go-to guide to help you master AI algorithms and concepts 8 real-world p……続きを見る

This book presents an improved design for service provisioning and allocation models that are validated through running genome sequence assembly tasks in a hybrid cloud environment. It proposes appr……続きを見る

This book is a pioneering yet primary general reference resource on cyber physical systems and their security concerns. Providing a fundamental theoretical background, and a clear and comprehensive ……続きを見る

This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It introduces the concept of dissipation-based quadratic constrain……続きを見る

This book deals with artificial intelligence (AI) and its several applications. It is not an organic text that should be read from the first page onwards, but rather a collection of articles that ca……続きを見る

Image Quality Assessment is well-known for measuring the perceived image degradation of natural scene images but is still an emerging topic for computer-generated images. This book addresses this pr……続きを見る

A definitive guide to creating an intelligent web application with the best of machine learning and JavaScript About This Book • Solve complex computational problems in browser with JavaScript • Tea……続きを見る

This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It prop……続きを見る

This unique book succinctly summarizes the need to measure how ontologies (one of the building blocks of the Semantic Web) are currently being utilized, providing insights for various stakeholders. ……続きを見る

Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem Key Features Build deep learning models with transfer learning p……続きを見る

Automate data and model pipelines for faster machine learning applications About This Book • Build automated modules for different machine learning components • Understand each component of a machin……続きを見る

Cable-driven parallel robots are a new kind of lightweight manipulators with excellent scalability in terms of size, payload, and dynamics capacities. For the first time, a comprehensive compendium ……続きを見る

This book describes the authors’ investigations of computational sarcasm based on the notion of incongruity. In addition, it provides a holistic view of past work in computational sarcasm and the ch……続きを見る

This book explores new alternative metaheuristic developments that have proved to be effective in their application to several complex problems. Though most of the new metaheuristic algorithms consi……続きを見る

This book focuses on approximations under the presence of ordinary and fractional smoothness, presenting both the univariate and multivariate cases. It also explores approximations under convexity a……続きを見る

Unleash the power of unsupervised machine learning in Hidden Markov Models using TensorFlow, pgmpy, and hmmlearn Key Features Build a variety of Hidden Markov Models (HMM) Create and apply models t……続きを見る

Discover the potential applications, challenges, and opportunities of deep learning from a business perspective with technical examples. These applications include image recognition, segmentation an……続きを見る

Work through exciting projects to explore the capabilities of Go and Machine Learning Key Features Explore ML tasks and Go’s machine learning ecosystem Implement clustering, regression, classificat……続きを見る

This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processi……続きを見る

Alle Teilgebiete der KI werden mit dieser Einführung kompakt, leicht verständlich und anwendungsbezogen dargestellt. Hier schreibt jemand, der das Gebiet nicht nur bestens aus Forschung und praktisc……続きを見る

This book shows that the plasmodium of Physarum polycephalum can be considered a natural labelled transition system, and based on this, it proposes high-level programming models for controlling the ……続きを見る

This book lies at the interface of machine learning – a subfield of computer science that develops algorithms for challenging tasks such as shape or image recognition, where traditional algorithms f……続きを見る

Cuando los sistemas que funcionan con inteligencia artificial pueden conducir nuestros coches, diagnosticar pacientes médicos y administrar nuestras finanzas de manera más efectiva que los humanos, ……続きを見る

Leverage the power of Apple's Core ML to create smart iOS apps About This Book • Explore the concepts of machine learning and Apple's Core ML APIs • Use Core ML to understand and transform images an……続きを見る

Dynamic programming is an efficient technique for solving optimization problems. It is based on breaking the initial problem down into simpler ones and solving these sub-problems, beginning with the……続きを見る

Be an adaptive thinker that leads the way to Artificial Intelligence Key Features AI-based examples to guide you in designing and implementing machine intelligence Develop your own method for futur……続きを見る

Dieses nun in der dritten Auflage erschienene Buch vermittelt die Grundlagen des systematischen Einsatzes von rechnerunterstützten Methoden, Vorgehensweisen und Werkzeugen in der Produktentstehung. ……続きを見る

「這不算。……『深藍』也沒有贏。」 西洋棋大師卡斯帕洛夫與超級電腦交手落敗後，為何這麼說？ 人類與人工智慧的關係，是「你輸我才贏」的零和賽局？ 　　●《麻省理工科技評論》年度最佳書籍、亞馬遜書店電腦科學To……続きを見る

This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curr……続きを見る