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"Machine learning methods extract value from vast data sets quickly and with modest resources. They are established tools in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis, and robot locomotion, and their use is spreading rapidly. People who know the methods have their choice of rewarding jobs. This hands-on text opens these opportunities to computer science students with modest mathematical backgrounds. It is designed for final-year undergraduates and master's students with limited background in linear algebra and calculus. Comprehensive and coherent, it develops everything from basic reasoning to advanced techniques within the framework of graphical models. Students learn more than a menu of techniques, they develop analytical and problem-solving skills that equip them for the real world. Numerous examples and exercises, both computer based and theoretical, are included in every chapter. Resources for students and instructors, including a MATLAB toolbox, are available online"-- "Vast amounts of data present amajor challenge to all thoseworking in computer science, and its many related fields, who need to process and extract value from such data. Machine learning technology is already used to help with this task in a wide range of industrial applications, including search engines, DNA sequencing, stock market analysis and robot locomotion. As its usage becomes more widespread, no student should be without the skills taught in this book. Designed for final-year undergraduate and graduate students, this gentle introduction is ideally suited to readers without a solid background in linear algebra and calculus. It covers everything from basic reasoning to advanced techniques in machine learning, and rucially enables students to construct their own models for real-world problems by teaching them what lies behind the methods. Numerous examples and exercises are included in the text. Comprehensive resources for students and instructors are available online"--

519.22 --- 519.22 Statistical theory. Statistical models. Mathematical statistics in general --- Statistical theory. Statistical models. Mathematical statistics in general --- Machine learning. --- Bayesian statistical decision theory. --- Computers --- Computer Vision & Pattern Recognition. --- Bayesian statistical decision theory --- Machine learning --- Learning, Machine --- Artificial intelligence --- Machine theory --- Bayes' solution --- Bayesian analysis --- Statistical decision --- Machine Learning --- COMPUTERS / Computer Vision & Pattern Recognition. --- Apprentissage automatique --- Statistique bayésienne --- Artificial Intelligence --- Bayes Theorem --- Analysis, Bayesian --- Bayesian Approach --- Bayesian Analysis --- Bayesian Forecast --- Bayesian Method --- Bayesian Prediction --- Approach, Bayesian --- Approachs, Bayesian --- Bayesian Approachs --- Forecast, Bayesian --- Method, Bayesian --- Prediction, Bayesian --- Theorem, Bayes --- 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 --- Heuristics --- 681.3*I2 --- 681.3*I2 Artificial intelligence. AI --- Artificial intelligence. AI

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Experimental and theoretical neuroscientists use Bayesian approaches to analyse the brain mechanisms of perception decision-making, and motor control.

Brain. --- Neurons. --- Bayesian statistical decision theory. --- Brain --- Neurons --- Bayesian statistical decision theory --- Cells --- Central Nervous System --- Probability --- Nervous System --- Models, Biological --- Anatomy --- Models, Theoretical --- Statistics as Topic --- Investigative Techniques --- Health Care Evaluation Mechanisms --- Epidemiologic Methods --- Analytical, Diagnostic and Therapeutic Techniques and Equipment --- Quality of Health Care --- Public Health --- Health Care Quality, Access, and Evaluation --- Environment and Public Health --- Health Care --- Bayes Theorem --- Models, Neurological --- Human Anatomy & Physiology --- Health & Biological Sciences --- Neuroscience --- Nerve Cells --- Cell, Nerve --- Cells, Nerve --- Nerve Cell --- Neuron --- Model, Neurological --- Neurologic Model --- Neurological Model --- Neurological Models --- Neurologic Models --- Model, Neurologic --- Models, Neurologic --- Encephalon --- Brains --- Encephalons --- Analysis, Bayesian --- Bayesian Approach --- Bayesian Analysis --- Bayesian Forecast --- Bayesian Method --- Bayesian Prediction --- Approach, Bayesian --- Approachs, Bayesian --- Bayesian Approachs --- Forecast, Bayesian --- Method, Bayesian --- Prediction, Bayesian --- Theorem, Bayes --- Community-Based Distribution --- Contraceptive Distribution --- Delivery of Healthcare --- Dental Care Delivery --- Distribution, Non-Clinical --- Distribution, Nonclinical --- Distributional Activities --- Healthcare --- Healthcare Delivery --- Healthcare Systems --- Non-Clinical Distribution --- Nonclinical Distribution --- Delivery of Dental Care --- Health Care Delivery --- Health Care Systems --- Activities, Distributional --- Activity, Distributional --- Care, Health --- Community Based Distribution --- Community-Based Distributions --- Contraceptive Distributions --- Deliveries, Healthcare --- Delivery, Dental Care --- Delivery, Health Care --- Delivery, Healthcare --- Distribution, Community-Based --- Distribution, Contraceptive --- Distribution, Non Clinical --- Distributional Activity --- Distributions, Community-Based --- Distributions, Contraceptive --- Distributions, Non-Clinical --- Distributions, Nonclinical --- Health Care System --- Healthcare Deliveries --- Healthcare System --- Non Clinical Distribution --- Non-Clinical Distributions --- Nonclinical Distributions --- System, Health Care --- System, Healthcare --- Systems, Health Care --- Systems, Healthcare --- Healthcare Quality, Access, and Evaluation --- Environment, Preventive Medicine & Public Health --- Environment, Preventive Medicine and Public Health --- Health, Public --- Quality of Care --- Quality of Healthcare --- Care Qualities --- Care Quality --- Health Care Quality --- Healthcare Quality --- Epidemiologic Method --- Epidemiological Methods --- Methods, Epidemiologic --- Epidemiological Method --- Method, Epidemiologic --- Method, Epidemiological --- Methods, Epidemiological --- Epidemiology --- Area Analysis --- Correlation Studies --- Correlation Study --- Correlation of Data --- Data Analysis --- Estimation Technics --- Estimation Techniques --- Indirect Estimation Technics --- Indirect Estimation Techniques --- Multiple Classification Analysis --- Service Statistics --- Statistical Study --- Statistics, Service --- Tables and Charts as Topic --- Analyses, Area --- Analyses, Data --- Analyses, Multiple Classification --- Analysis, Area --- Analysis, Data --- Analysis, Multiple Classification --- Area Analyses --- Classification Analyses, Multiple --- Classification Analysis, Multiple --- Data Analyses --- Data Correlation --- Data Correlations --- Estimation Technic --- Estimation Technic, Indirect --- Estimation Technics, Indirect --- Estimation Technique --- Estimation Technique, Indirect --- Estimation Techniques, Indirect --- Indirect Estimation Technic --- Indirect Estimation Technique --- Multiple Classification Analyses --- Statistical Studies --- Studies, Correlation --- Studies, Statistical --- Study, Correlation --- Study, Statistical --- Technic, Estimation --- Technic, Indirect Estimation --- Technics, Estimation --- Technics, Indirect Estimation --- Technique, Estimation --- Technique, Indirect Estimation --- Techniques, Estimation --- Techniques, Indirect Estimation --- Healthcare Evaluation Mechanisms --- Evaluation Mechanism, Healthcare --- Evaluation Mechanisms, Healthcare --- Healthcare Evaluation Mechanism --- Mechanism, Healthcare Evaluation --- Mechanisms, Healthcare Evaluation --- Experimental Model --- Experimental Models --- Mathematical Model --- Model, Experimental --- Models (Theoretical) --- Models, Experimental --- Models, Theoretic --- Theoretical Study --- Mathematical Models --- Model (Theoretical) --- Model, Mathematical --- Model, Theoretical --- Models, Mathematical --- Studies, Theoretical --- Study, Theoretical --- Theoretical Model --- Theoretical Models --- Theoretical Studies --- Investigative Technics --- Investigative Technic --- Investigative Technique --- Technic, Investigative --- Technics, Investigative --- Technique, Investigative --- Techniques, Investigative --- Anatomies --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Nervous Systems --- System, Nervous --- Systems, Nervous --- Probabilities --- Cerebrospinal Axis --- Axi, Cerebrospinal --- Axis, Cerebrospinal --- Central Nervous Systems --- Cerebrospinal Axi --- Nervous System, Central --- Nervous Systems, Central --- System, Central Nervous --- Systems, Central Nervous --- Cell --- Bayes' solution --- Bayesian analysis --- Nerve cells --- Neurocytes --- Cerebrum --- Mind --- methods --- Community Health --- Health, Community --- Preventive Medicine --- Education, Public Health Professional --- Pharmacy Audit --- Audit, Pharmacy --- Pharmacy Audits --- Computer Simulation --- Systems Theory --- Cell Biology --- Statistical decision --- Nervous system --- Central nervous system --- Head --- NEUROSCIENCE/General --- Mathematical statistics --- Physiology of nerves and sense organs