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Programmeren ; algoritmes --- Informatica ; secundair onderwijs ; leermiddelen --- Structorizor --- JavaScript
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Hoe onthoud je meer en vergeet je minder?Hoe kun je alleen al door te verhuizen meer verdienen en slimmer worden?En hoe pak je een kofferbak het efficiëntst in?Wiskunde is de kunst van de shortcut: het zit vol manieren om beter te leren denken en helpt je sneller je weg te vinden in een complexe wereld. In Beter denken bespreekt Du Sautoy zowel legendarische shortcuts waardoor de menselijke beschaving mogelijk werd, als handige shortcuts die ons dagelijks leven makkelijker maken.Of het nu gaat om de bouw van de eerste steden langs de Nijl en de Eufraat, zo'n vijfduizend jaar geleden, het berekenen van de omtrek van de aarde, het leren bespelen van een instrument, of het ontwerpen van algoritmes die ons helpen bij het vinden van een levenspartner, steeds opnieuw verzinnen we een slimme, korte route.Aan de hand van fascinerende verhalen, raadsels en puzzels biedt Beter denken vele ingenieuze strategieën om dagelijkse problemen op te lossen. Daarmee is dit boek de ultieme shortcut naar de kunst van de shortcut.https://www.standaardboekhandel.be/p/beter-denken-9789057125645
485.3 --- wiskunde --- algoritmes --- didactiek secundair onderwijs - wiskunde --- Wiskunde --- Denken --- Creatief denken
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"This book is an introduction to algorithms targeting an audience with little to no computer science background. In this book, algorithms from a wide area are presented: from music to searching and sorting, to deep learning, to graphs. The author shows how algorithms are used in practice. A unique feature of the book is that it focuses on showing how algorithms really work; not just what algorithms can do. There are many books discussing that and delving in technological applications and their implications. The book aims to show not just what algorithms can do, but how they do it. Louridas covers a wide range of algorithms. He does not shy away from classic algorithms such as searching and sorting, as they are the workhorses of most applications; at the same time, he also covers a wide expanse, such as algorithms in music, non-traditional searching (like the secretary problem), graphs, and the PageRank algorithm. He introduces deep learning, showing how it works in practice, and gives an overview of the limits of computability. He finishes up the text with an eclectic discussion of implications. Most books on algorithms are either too technical, or not technical at all - showing what the algorithms do, without showing how. This book aims at striking a balance between the two methods. Algorithms should be, and can be explained, in simple terms. To repeat, an algorithm should be explained so that a human can execute it with a pen and paper"--
Algorithms --- Computer algorithms --- Algorithmes --- Algebra --- Arithmetic --- Algorism --- Foundations --- Algorithms - Popular works --- Computer algorithms - Popular works --- Algoritmen --- Programmeren ; algoritmes
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Grokking Algorithms is a friendly take on this core computer science topic. In it, you'll learn how to apply common algorithms to the practical programming problems you face every day. You'll start with tasks like sorting and searching. As you build up your skills, you'll tackle more complex problems like data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python. By the end of this book, you will have mastered widely applicable algorithms as well as how and when to use them.
Algoritmos computacionales. --- Algoritmos computacionales --- Computer algorithms. --- Computer programming. --- Algorithmus --- Programmierung --- Computer programming --- Algorithmes --- Programmation (Informatique) --- Handbooks, manuals, etc. --- Guides, manuels, etc --- Computer algorithms --- 520.6 --- algoritmen --- algoritmes --- programmeren --- Python --- Algorithms --- Mathematische informatietheorie --- Computer science --- Programming --- datastructuren
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Spherical functions. --- Euclidean algorithm. --- Algorithm of Euclid --- Continued division --- Division, Continued --- Euclid algorithm --- Euclidian algorithm --- Euclid's algorithm --- Algorithms --- Number theory --- Functions, Spherical --- Spherical harmonics --- Transcendental functions --- Spheroidal functions --- Funcions esferoïdals --- Algorismes --- Algorisme d'Euclides --- Algoritmes --- Àlgebra --- Algorismes computacionals --- Algorismes genètics --- Anàlisi numèrica --- Funcions recursives --- Programació (Matemàtica) --- Programació (Ordinadors) --- Teoria de màquines --- Traducció automàtica --- Funcions harmòniques
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Algorismes --- Simulació per ordinador --- Models per ordinador --- Simulació (Informàtica) --- Mètodes de simulació --- Models matemàtics --- Realitat virtual --- Sistemes virtuals (Informàtica) --- Fabricació integrada per ordinador --- Algorisme d'Euclides --- Algoritmes --- Àlgebra --- Algorismes computacionals --- Algorismes genètics --- Anàlisi numèrica --- Funcions recursives --- Programació (Matemàtica) --- Programació (Ordinadors) --- Teoria de màquines --- Traducció automàtica --- Parallel algorithms --- Computer simulation --- Algorithms
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The concept of large margins is a unifying principle for the analysis of many different approaches to the classification of data from examples, including boosting, mathematical programming, neural networks, and support vector machines. The fact that it is the margin, or confidence level, of a classification--that is, a scale parameter--rather than a raw training error that matters has become a key tool for dealing with classifiers. This book shows how this idea applies to both the theoretical analysis and the design of algorithms.The book provides an overview of recent developments in large margin classifiers, examines connections with other methods (e.g., Bayesian inference), and identifies strengths and weaknesses of the method, as well as directions for future research. Among the contributors are Manfred Opper, Vladimir Vapnik, and Grace Wahba.
Machine Learning --- Algorithms --- Kernel functions --- Machine learning --- #TELE:SISTA --- Learning, Machine --- Artificial intelligence --- Machine theory --- Functions, Kernel --- Functions of complex variables --- Geometric function theory --- Algorism --- Algebra --- Arithmetic --- Foundations --- Kernel functions. --- Algorithms. --- Machine learning. --- Engineering & Applied Sciences --- Computer Science --- E-books --- COMPUTER SCIENCE/General --- Algorismes --- Aprenentatge automàtic --- Kernel, Funcions de --- Funcions de Kernel --- Funcions Kernel --- Funcions de variables complexes --- Intel·ligència artificial --- Màquines, Teoria de --- Algoritmes --- Euclides, Algorisme d' --- Àlgebra --- Aritmètica --- Fonaments
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"As the power and sophistication of of 'big data' and predictive analytics has continued to expand, so too has policy and public concern about the use of algorithms in contemporary life. This is hardly surprising given our increasing reliance on algorithms in daily life, touching policy sectors from healthcare, transport, finance, consumer retail, manufacturing education, and employment through to public service provision and the operation of the criminal justice system. This has prompted concerns about the need and importance of holding algorithmic power to account, yet it is far from clear that existing legal and other oversight mechanisms are up to the task. This collection of essays, edited by two leading regulatory governance scholars, offers a critical exploration of 'algorithmic regulation', understood both as a means for co-ordinating and regulating social action and decision-making, as well as the need for institutional mechanisms through which the power of algorithms and algorithmic systems might themselves be regulated. It offers a unique perspective that is likely to become a significant reference point for the ever-growing debates about the power of algorithms in daily life in the worlds of research, policy and practice. The range of contributors are drawn from a broad range of disciplinary perspectives including law, public administration, applied philosophy, data science and artificial intelligence"
Algorithms. --- Algorism --- Algebra --- Arithmetic --- Foundations --- Algoritmos --- Técnicas y Métodos de Gestión Pública (61092210) |x Bibliografía recomendada --- Algoritmos computacionales --- Algoritmos de ramificación y poda --- Algoritmos genéticos --- Transformaciones (Matemáticas) --- Álgebra --- Análisis matemático --- Algorithms --- Social aspects. --- Social aspects --- Técnicas y Métodos de Gestión Pública (61092210) --- Bibliografía recomendada --- Algorismes --- Algorisme d'Euclides --- Algoritmes --- Àlgebra --- Algorismes computacionals --- Algorismes genètics --- Anàlisi numèrica --- Funcions recursives --- Programació (Matemàtica) --- Programació (Ordinadors) --- Teoria de màquines --- Traducció automàtica --- Algorithms - Social aspects --- Algoritmos.
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Mathematical optimization. --- Algorithms. --- Algorism --- Algebra --- Arithmetic --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Foundations --- Optimització matemàtica --- Algorismes --- Algorisme d'Euclides --- Algoritmes --- Àlgebra --- Algorismes computacionals --- Algorismes genètics --- Anàlisi numèrica --- Funcions recursives --- Programació (Matemàtica) --- Programació (Ordinadors) --- Teoria de màquines --- Traducció automàtica --- Mètodes de simulació --- Jocs d'estratègia (Matemàtica) --- Optimització combinatòria --- Programació dinàmica --- Anàlisi de sistemes
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Mathematical optimization. --- Algorithms. --- Optimització matemàtica --- Algorismes --- Algorisme d'Euclides --- Algoritmes --- Àlgebra --- Algorismes computacionals --- Algorismes genètics --- Anàlisi numèrica --- Funcions recursives --- Programació (Matemàtica) --- Programació (Ordinadors) --- Teoria de màquines --- Traducció automàtica --- Mètodes de simulació --- Jocs d'estratègia (Matemàtica) --- Optimització combinatòria --- Programació dinàmica --- Anàlisi de sistemes --- Algorism --- Algebra --- Arithmetic --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Foundations
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