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"Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach. The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package--PMTK (probabilistic modeling toolkit)--that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students."--Provided by publisher.
Machine learning --- Probabilities --- Apprentissage automatique --- Probabilités --- Machine Learning --- Machine learning. --- Probabilities. --- Basic Sciences. Statistics --- Probability Theory, Sampling Theory --- Artificial intelligence. Robotics. Simulation. Graphics --- Probability Theory, Sampling Theory. --- Probabilités --- Probability --- Statistical inference --- Combinations --- Mathematics --- Chance --- Least squares --- Mathematical statistics --- Risk --- Learning, Machine --- Artificial intelligence --- Machine theory --- Apprentissage automatique. --- Probabilités. --- machine learning --- KI (kunstmatige intelligentie) --- Aprendizaje automático --- Probabilidades --- Libros electrónicos
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Human engineering. --- Human-machine systems. --- Human engineering --- Human-machine systems --- Human operators (Systems engineering) --- Human subsystems (Systems engineering) --- Man-machine control systems --- Man-machine systems --- Operator-machine systems --- Engineering systems --- Ergonomics --- Human factors in engineering design --- Bioengineering --- Environmental engineering --- Industrial engineering --- Human comfort --- Human-robot interaction
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Machine learning --- Pattern perception --- 681.3*I52 --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Learning, Machine --- Artificial intelligence --- Machine theory --- 681.3*I52 Design methodology: classifier design and evaluation; feature evaluation and selection; pattern analysis (Pattern recognition) --- Design methodology: classifier design and evaluation; feature evaluation and selection; pattern analysis (Pattern recognition) --- Machine Learning --- Computer. Automation --- Mathematical statistics --- patroonherkenning --- Machine learning. --- Pattern perception. --- Basic Sciences. Statistics --- Mathematical Statistics. --- Perception des structures. --- Apprentissage automatique. --- Pattern recognition systems --- Perception de structure --- Reconnaissance des formes (Informatique) --- Apprentissage automatique
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Interaction Designers-whether practicing as Usability Engineers, Visual Interface Designers, or Information Architects-attempt to understand and shape human behavior in order to design products that are at once usable, useful, and desirable. Although the value of design is now recognized as essential to product development, the field is often misunderstood by managers and other team members, who don't understand a designer's role in a team. This can cause inefficient and ineffective products. Thoughts on Interaction Design gives individuals engaged in this profession the dialo
Engineering design. --- Human-computer interaction. --- Human-machine systems. --- Industrial design -- Psychological aspects. --- Product design. --- Industrial design --- Product design --- Human-machine systems --- Human-computer interaction --- Engineering design --- Mechanical Engineering --- Engineering & Applied Sciences --- Industrial & Management Engineering --- Psychological aspects --- Design, Engineering --- Engineering --- Strains and stresses --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Human operators (Systems engineering) --- Human subsystems (Systems engineering) --- Man-machine control systems --- Man-machine systems --- Operator-machine systems --- Engineering systems --- Commercial products --- New products --- Design, Industrial --- Mechanical drawing --- Design --- Design and construction --- Information Technology --- General and Others --- Chemistry --- Chemical Engineering --- Atomization --- Spraying --- Spraying. --- Atomization.
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Computer science --- Machine theory --- Formal languages --- Computational complexity --- Automates mathématiques, Théorie des --- Langages formels --- Complexité de calcul (Informatique) --- Computational Complexity --- 510.5 --- #TELE:SISTA --- Abstract automata --- Abstract machines --- Automata --- Mathematical machine theory --- Algorithms --- Logic, Symbolic and mathematical --- Recursive functions --- Robotics --- Formalization (Linguistics) --- Language and languages --- Complexity, Computational --- Electronic data processing --- Algorithms. Computable functions --- Computational complexity. --- Formal languages. --- Machine theory. --- 510.5 Algorithms. Computable functions --- Automates mathématiques, Théorie des --- Complexité de calcul (Informatique) --- Informatique --- Computer science. --- Language --- Automates abstraits
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Information [Traitement optique de l' ] --- Optical computing --- Optical data processing --- Optische gegevensverwerking --- Visual data processing --- 519.67 --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Machine, graphical and other methods of computational mathematics --- Optical equipment --- 519.67 Machine, graphical and other methods of computational mathematics --- Optical data processing. --- Optoelectronics --- Traitement optique de l'information --- Optoélectronique --- Traitement optique de l'information. --- Optoélectronique.
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Computer. Automation --- Robotics --- 681.3*I29 --- Automation --- Machine theory --- Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- Robotics. --- 681.3*I29 Robotics: manipulators; propelling mechanisms; sensors (Artificial intelli- gence) --- Robots --- Robotique --- Control systems --- Systèmes de commande --- Robotique. --- Systèmes de commande.
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Computer science --- Computer software --- Electronic digital computers --- 681.3*C10 --- Automatic digital computers --- Computers, Electronic digital --- Digital computers, Electronic --- Computers --- Hybrid computers --- Sequential machine theory --- Software, Computer --- Computer systems --- Computerwetenschap--?*C10
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Fundamentals of Codes, Graphs, and Iterative Decoding is an explanation of how to introduce local connectivity, and how to exploit simple structural descriptions. Chapter 1 provides an overview of Shannon theory and the basic tools of complexity theory, communication theory, and bounds on code construction. Chapters 2 - 4 provide an overview of "classical" error control coding, with an introduction to abstract algebra, and block and convolutional codes. Chapters 5 - 9 then proceed to systematically develop the key research results of the 1990s and early 2000s with an introduction to graph theory, followed by chapters on algorithms on graphs, turbo error control, low density parity check codes, and low density generator codes.
Coding theory --- Mathematics --- Physical Sciences & Mathematics --- Algebra --- Coding theory. --- Codage --- EPUB-LIV-FT SPRINGER-B --- Electrical engineering. --- Electrical Engineering. --- Data compression (Telecommunication) --- Digital electronics --- Information theory --- Machine theory --- Signal theory (Telecommunication) --- Computer programming --- Electric engineering --- Engineering
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