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The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods. The book is divided into five sections that focus on the most useful techniques that have emerged from AI. The first section of the book covers logic-based methods, while the second section focuses on probability-based methods. Emergent intelligence is featured in the third section and explores evolutionary computation and methods based on swarm intelligence. The newest section comes next and provides a detailed overview of neural networks and deep learning. The final section of the book focuses on natural language understanding. Suitable for undergraduate and beginning graduate students, this class-tested textbook provides students and other readers with key AI methods and algorithms for solving challenging problems involving systems that behave intelligently in specialized domains such as medical and software diagnostics, financial decision making, speech and text recognition, genetic analysis, and more.

Inteligencia artificial

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chemie --- KI (kunstmatige intelligentie) --- Chemistry --- Artificial intelligence --- Chimie --- Intelligence artificielle --- Data processing --- Congresses --- Informatique --- Congrès --- Inteligencia Artificial (Computacao) --- Physical Sciences & Mathematics --- Chemistry - General --- Congrès

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Artificial neural networks are most suitable for solving problems that are complex, ill-defined, highly nonlinear, of many and different variables, and/or stochastic. Such problems are abundant in medicine, in finance, in security and beyond. This volume covers the basic theory and architecture of the major artificial neural networks. Uniquely, it presents 18 complete case studies of applications of neural networks in various fields, ranging from cell-shape classification to micro-trading in finance and to constellation recognition - all with their respective source codes. These case studies d

Neural networks (Computer science). --- Inteligencia artificial --- Redes de comunicación --- Libros electrónicos --- Artificial neural networks --- Nets, Neural (Computer science) --- Networks, Neural (Computer science) --- Neural nets (Computer science) --- Artificial intelligence --- Natural computation --- Soft computing --- Neural networks (Computer science)

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Artificial intelligence. --- Inteligencia artificial. --- Inteligência artificial --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers

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Ceux qui pensent que l’intelligence artificielle (IA) est très éloignée de leur réalité se trompent. L’IA n’est pas réservée aux films de science-fiction futuristes ou aux salons technologiques branchés. L’IA est partout, y compris dans votre vie. Le folder publicitaire personnalisé du supermarché avec des offres « rien que pour vous » ? IA. Les chansons proposées sur Spotify ? IA. Les feux de signalisation à réglage automatique au coin de la rue ? IA. On ne peut le nier. L’intelligence artificielle s’insinue dans notre réalité à une vitesse vertigineuse. Elle se manifeste dans votre vie quotidienne, mais aussi dans les différents secteurs économiques. Cela soulève de nombreuses questions. Que peut faire l’IA ? Que ne peut-elle pas encore faire ? Et dans quelle mesure l’IA est-elle vraiment intelligente et apporte-t-elle une valeur ajoutée à notre mode de vie ? Geertrui Mieke De Ketelaere, experte en IA, suit l’évolution de ce monde fascinant au premier rang. Dans ce livre, elle explique de manière accessible et transparente les concepts de base de l’intelligence artificielle. Elle ne se contente pas de souligner les nombreuses possibilités qu’offre l’IA, elle en épingle également les risques. De Ketelaere emmène le lecteur au-delà de l’engouement médiatique, afin qu’il puisse participer à ce débat fascinant tout en étant informé. Une chose est sûre : déjà très importante aujourd’hui, l’IA deviendra cruciale pour notre avenir.

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