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[null,"1.","Record Nr.",null,"UNINA9910463633603321"]
[null,null,"Autore",null,"Leseberg Nick"]
[null,null,"Titolo",null,"Birds and animals of Australia's top end : Darwin, Kakadu, Katherine, and Kununurra / / Nick Leseberg, Iain Campbell"]
[null,null,"Pubbl/distr/stampa",null,"Princeton, New Jersey ; ; Oxfordshire, England : , : Princeton University Press, , 2015"]
[{"$nulls":4},"©2015"]
[null,null,"Descrizione fisica",null,"1 online resource (273 p.)"]
[null,null,"Collana",null,"WildGuides"]
[null,null,"Disciplina",null,"591.994"]
[null,null,"Soggetti",null,"Animals - Australia"]
[{"$nulls":4},"Birds - Australia"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Paperback"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Frontmatter -- Contents -- About this book -- How to use this book -- Maps of the Top End -- Geography and geology of the Top End -- Weather and seasons of the Top End -- Habitats of the Top End -- How to watch wildlife -- Where to find wildlife -- Birds of Wetlands and Beaches -- Raptors: Hawks, Eagles and Falcons -- Birds of the Forest: Mangroves and Monsoon Forests -- Birds of Open Areas Woodlands and Grasslands -- Mammals -- Reptiles and Amphibians -- Further reading -- Acknowledgements -- Photo credits -- Index"]
[null,null,null,"Sommario/riassunto","One of the most amazing and accessible wildlife-watching destinations on earth, the \"Top End\" of Australia's Northern Territory is home to incredible birds and animals-from gaudy Red-collared Lorikeets to sinister Estuarine Crocodiles and raucous Black Flying-foxes. With this lavishly illustrated photographic field guide, you will be able to identify the most common creatures and learn about their fascinating biology-from how Agile Wallaby mothers can pause their pregnancies to why Giant Frogs spend half the year buried underground in waterproof cocoons.The Top End stretches from the tropical city of Darwin in the north, to the savannas of Mataranka in the south, and southwest across the vast Victoria River escarpments to the Western Australian border. The region includes some of Australia's most popular and impressive tourist destinations, such as Kakadu, Litchfield, Nitmiluk, and Gregory national parks, and is visited by more than two hundred thousand "]
[{"$nulls":4},"tourists every year.An essential field guide for anyone visiting the Top End, this book will vastly enhance your appreciation of the region's remarkable wildlife.Features hundreds of stunning color photographsIncludes concise information on identification and preferred habitat for each speciesProvides a summary of each species' life history, including interesting habits, and suggestions on where to see itOffers valuable tips on searching for wildlife in the Top EndAn essential guide for visitors to the Top End, from Darwin south to Katherine and Kununurra, including Kakadu, Litchfield, Nitmiluk and Gregory national parks"]
[null,"2.","Record Nr.",null,"UNINA9910583088403321"]
[null,null,"Autore",null,"Sugiyama Masashi <1974->"]
[null,null,"Titolo",null,"Introduction to statistical machine learning / / Masashi Sugiyama"]
[null,null,"Pubbl/distr/stampa",null,"Amsterdam : , : Elsevier, , [2016]"]
[{"$nulls":4},"©2016"]
[null,null,"ISBN",null,"0-12-802350-3"]
[null,null,"Descrizione fisica",null,"1 online resource (535 p.)"]
[null,null,"Disciplina",null,"006.3/1"]
[null,null,"Soggetti",null,"Machine learning - Statistical methods"]
[{"$nulls":4},"Information science - Statistical methods"]
[{"$nulls":4},"Pattern recognition systems"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Front Cover; Introduction to Statistical Machine Learning; Copyright; Table of Contents; Biography; Preface; 1 INTRODUCTION; 1 Statistical Machine Learning; 1.1 Types of Learning; 1.2 Examples of Machine Learning Tasks; 1.2.1 Supervised Learning; 1.2.2 Unsupervised Learning; 1.2.3 Further Topics; 1.3 Structure of This Textbook; 2 STATISTICS AND PROBABILITY; 2 Random Variables and Probability Distributions; 2.1 Mathematical Preliminaries; 2.2 Probability; 2.3 Random Variable and Probability Distribution; 2.4 Properties of Probability Distributions; 2.4.1 Expectation, Median, and Mode"]
[{"$nulls":4},"2.4.2 Variance and Standard Deviation2.4.3 Skewness, Kurtosis, and Moments; 2.5 Transformation of Random Variables; 3 Examples of Discrete Probability Distributions; 3.1 Discrete Uniform Distribution; 3.2 Binomial Distribution; 3.3 Hypergeometric Distribution; 3.4 Poisson Distribution; 3.5 Negative Binomial Distribution; 3.6 Geometric Distribution; 4 Examples of Continuous Probability Distributions; 4.1 Continuous Uniform Distribution; 4.2 Normal Distribution; 4.3 Gamma Distribution, Exponential Distribution, and Chi-Squared Distribution; 4.4 Beta Distribution"]
[{"$nulls":4},"4.5 Cauchy Distribution and Laplace Distribution4.6 t-Distribution and F-Distribution; 5 Multidimensional Probability Distributions; 5.1 Joint Probability Distribution; 5.2 Conditional Probability Distribution; 5.3 Contingency Table; 5.4 Bayes' Theorem; 5.5 Covariance and Correlation; 5.6 Independence; 6 Examples of Multidimensional Probability Distributions; 6.1 Multinomial Distribution; 6.2 Multivariate "]
[{"$nulls":4},"Normal Distribution; 6.3 Dirichlet Distribution; 6.4 Wishart Distribution; 7 Sum of Independent Random Variables; 7.1 Convolution; 7.2 Reproductive Property; 7.3 Law of Large Numbers"]
[{"$nulls":4},"7.4 Central Limit Theorem8 Probability Inequalities; 8.1 Union Bound; 8.2 Inequalities for Probabilities; 8.2.1 Markov's Inequality and Chernoff's Inequality; 8.2.2 Cantelli's Inequality and Chebyshev's Inequality; 8.3 Inequalities for Expectation; 8.3.1 Jensen's Inequality; 8.3.2 Hölder's Inequality and Schwarz's Inequality; 8.3.3 Minkowski's Inequality; 8.3.4 Kantorovich's Inequality; 8.4 Inequalities for the Sum of Independent Random Variables; 8.4.1 Chebyshev's Inequality and Chernoff's Inequality; 8.4.2 Hoeffding's Inequality and Bernstein's Inequality; 8.4.3 Bennett's Inequality"]
[{"$nulls":4},"9 Statistical Estimation9.1 Fundamentals of Statistical Estimation; 9.2 Point Estimation; 9.2.1 Parametric Density Estimation; 9.2.2 Nonparametric Density Estimation; 9.2.3 Regression and Classification; 9.2.4 Model Selection; 9.3 Interval Estimation; 9.3.1 Interval Estimation for Expectation of Normal Samples; 9.3.2 Bootstrap Confidence Interval; 9.3.3 Bayesian Credible Interval; 10 Hypothesis Testing; 10.1 Fundamentals of Hypothesis Testing; 10.2 Test for Expectation of Normal Samples; 10.3 Neyman-Pearson Lemma; 10.4 Test for Contingency Tables"]
[{"$nulls":4},"10.5 Test for Difference in Expectations of Normal Samples"]