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Artificial intelligence. Robotics. Simulation. Graphics --- Machine learning --- Apprentissage automatique --- Machine Learning --- Machine learning. --- Apprentissage automatique. --- Aprendizado computacional. --- Agrotechnology and Food Sciences. Information and Communication Technology --- Information and Communication Technology (General) --- Information and Communication Technology (General). --- Apprentissage automatique (intelligence artificielle)
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The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, optimize robot behavior so that a task can be completed using minimum resources, and extract knowledge from bioinformatics data. Introduction to Machine Learning is a comprehensive textbook on the subject, covering a broad array of topics not usually included in introductory machine learning texts. Subjects include supervised learning; Bayesian decision theory; parametric, semi-parametric, and nonparametric methods; multivariate analysis; hidden Markov models; reinforcement learning; kernel machines; graphical models; Bayesian estimation; and statistical testing.Machine learning is rapidly becoming a skill that computer science students must master before graduation. The third edition of Introduction to Machine Learning reflects this shift, with added support for beginners, including selected solutions for exercises and additional example data sets (with code available online). Other substantial changes include discussions of outlier detection; ranking algorithms for perceptrons and support vector machines; matrix decomposition and spectral methods; distance estimation; new kernel algorithms; deep learning in multilayered perceptrons; and the nonparametric approach to Bayesian methods. All learning algorithms are explained so that students can easily move from the equations in the book to a computer program. The book can be used by both advanced undergraduates and graduate students. It will also be of interest to professionals who are concerned with the application of machine learning methods.
681.3*I26 --- 681.3*I26 Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Learning: analogies; concept learning; induction; knowledge acquisition; language acquisition; parameter learning (Artificial intelligence)--See also {681.3*K32} --- Machine Learning --- Machine learning. --- Aprendizaje automático --- Libros electrónicos --- Learning, Machine --- Artificial intelligence --- Machine theory
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A concise overview of machine learning -- computer programs that learn from data -- which underlies applications that include recommendation systems, face-recognition, and driverless cars
Machine learning. --- Artificial intelligence. --- 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 --- Learning, Machine --- Artificial intelligence --- Maschinelles Lernen --- Apprentissage automatique --- Intelligence artificielle --- Philosophy and psychology of culture --- Artificial intelligence. Robotics. Simulation. Graphics --- Machine Learning
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"An updated introduction for generalists to this powerful technology, its applications and possible future directions"--
Machine learning --- Artificial intelligence --- Artificial Intelligence --- Heuristics --- Computational Intelligence --- AI (Artificial Intelligence) --- Computer Reasoning --- Computer Vision Systems --- Knowledge Acquisition (Computer) --- Knowledge Representation (Computer) --- Machine Intelligence --- Acquisition, Knowledge (Computer) --- Computer Vision System --- Intelligence, Artificial --- Intelligence, Computational --- Intelligence, Machine --- Knowledge Representations (Computer) --- Reasoning, Computer --- Representation, Knowledge (Computer) --- System, Computer Vision --- Systems, Computer Vision --- Vision System, Computer --- Vision Systems, Computer --- Machine theory --- Learning, Machine --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligent machines --- Machine intelligence --- Thinking, Artificial
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Machine learning means artificially generating knowledge from experience. This book discusses methods from the fields of statistics and pattern recognition, and combines various approaches to find efficient solutions. This edition contains a new chapter about deep learning and provides additional information about multilayer perceptrons and reinforcement learning. There is also a new section on generative adversarial networks. Maschinelles Lernen ist die künstliche Generierung von Wissen aus Erfahrung. Dieses Buch diskutiert Methoden aus den Bereichen Statistik, Mustererkennung und kombiniert die unterschiedlichen Ansätze, um effiziente Lösungen zu finden. Diese Auflage bietet ein neues Kapitel über Deep Learning und erweitert die Inhalte über mehrlagige Perzeptrone und bestärkendes Lernen. Eine neue Sektion über erzeugende gegnerische Netzwerke ist ebenfalls dabei.
Machine learning. --- artificial intelligence. --- deep learning. --- neuronal networks.
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The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This substantially revised fourth edition offers new coverage of recent advances in the field in both theory and practice, including developments in deep learning and neutral networks.
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This book constitutes the refereed proceedings of the joint International Conference on Artificial Neural Networks and International Conference on Neural Information Processing, ICANN/ICONIP 2003, held in Istanbul, Turkey, in June 2003. The 138 revised full papers were carefully reviewed and selected from 346 submissions. The papers are organized in topical sections on learning algorithms, support vector machine and kernel methods, statistical data analysis, pattern recognition, vision, speech recognition, robotics and control, signal processing, time-series prediction, intelligent systems, neural network hardware, cognitive science, computational neuroscience, context aware systems, complex-valued neural networks, emotion recognition, and applications in bioinformatics.
Neural networks (Computer science) --- Computer Science --- Engineering & Applied Sciences --- Computer science. --- Science. --- Computer communication systems. --- Special purpose computers. --- Computers. --- Database management. --- Artificial intelligence. --- Computer Science. --- Computation by Abstract Devices. --- Science, general. --- Computer Communication Networks. --- Special Purpose and Application-Based Systems. --- Database Management. --- Artificial Intelligence (incl. Robotics). --- Software engineering. --- Science, Humanities and Social Sciences, multidisciplinary. --- Artificial Intelligence. --- 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 --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Computer software engineering --- Engineering --- Informatics --- Science --- Special purpose computers --- Computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Distributed processing
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