Recommendations based on "Gaussian Processes for Machine Learning"

For Advanced Undergraduate And Beginning Graduate Students In Atmospheric, Oceanic, And Climate Science, Atmosphere, Ocean And Climate Dynamics Is An Introductory Textbook On The Circulations Of The Atmosphere And Ocean And Their Interaction, With An Emphasis On Global Scales. It Will Give Students A Good Grasp Of What The Atmosphere And Oceans Look Like On The Large-scale And Why They Look That Way. The Role Of The Oceans In Climate And Paleoclimate Is Also Discussed. The Combination Of Observations, Theory And Accompanying Illustrative Laboratory Experiments Sets This Text Apart By Making It Accessible To Students With No Prior Training In Meteorology Or Oceanography. * Written At A Mathematical Level That Is Appealing For Undergraduates And Beginning Graduate Students * Provides A Useful Educational Tool Through A Combination Of Observations And Laboratory Demonstrations Which Can Be Viewed Over The Web * Contains Instructions On How To Reproduce The Simple But Informative Laboratory Experiments * Includes Copious Problems (with Sample Answers) To Help Students Learn The Material.

The third edition of the book widely recognized as providing the most readable and clearly articulated introduction to Cognitive Linguistics is fully revised and updated to include the considerable developments in Cognitive Linguistics since 1987. It covers recent research on polysemy, meaning relatedness and metaphors, as well as expanding the discussion of syntactic categories and the relevance of computer simulations.

Learn How Coupling Impacts Every Software Design Decision You Make--and How to Control It If you want to build modular, evolvable, and resilient software systems, you have to get coupling right. Every design decision you make influences coupling, which in turn shapes the design options available to you. Despite its importance, coupling often doesn't receive the attention it deserves--until now. Since the dawn of software engineering, it's been clear that proper management of coupling is essential for architecting modular software systems. This topic has been extensively researched over the years, but some of that knowledge has been forgotten, and some of it is challenging to apply in this day and age. In Balancing Coupling in Software Design, author Vlad Khononov has built a model that not only draws on this accumulated knowledge, but also adapts it to modern software engineering practices, offering a fresh perspective on modular software design. With principles grounded in practice, Vlad teaches you not only to navigate the multi-dimensional nature of coupling but also to use coupling as a tool for managing complexity and increasing modularity. And who knows, maybe this book will change the way you think about software design as whole. Defines the concept of coupling and the role it plays in system design and architecture Explains how coupling can both increase complexity and foster modularity of a system Introduces a holistic model that turns coupling into a tool for designing modular software Shows how to evolve design decisions to support continuous growth of software systems Illustrates the discussed principles with detailed examples based on real-life case studies "Coupling is one of those words that is used a lot, but little understood. Vlad propels us from simplistic slogans like 'always decouple components' to a nuanced discussion of coupling in the context of complexity and software evolution. If you build modern software, read this book!" --Gregor Hohpe, author of The Software Architect Elevator Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

How do you design a research project? What is the difference in method between qualitative and quantitative research? How should psychologists go about considering the ethics of research methodology? For the 'students who ask questions', this concise text provides an informative introduction to the methods of psychological research, offering an overview of the primary stages in research. From learning how to construct the initial aims and criterion of a study to presenting the final resulting data into tables and graphs, this book aims to guide psychologists through the tools that make psychological research and the understanding of its resulting data possible. Written with enthusiasm and lucidity, Walker guides readers through the appropriate methods for undertaking research, explaining the discerning features of the core types of research, the primary measurements of statistics such as the chi-squared, t and Mann-Whitney U tests and brings an apt consideration of what makes a psychological study ethical. Whether desiring to learn about how to empirically record and measure the psychological experience of an individual or the behavioural factors of an entire population, Research Methods and Statistics is the introductory short-text for learning how to undertake successful research.This title stands as part of the Insights series edited by Nigel Holt and Rob Lewis, containing versatile, quick guides to the cornerstone theories, main topics and theoretical perspectives of their subjects and are useful for pre-undergraduate students looking to find incisive introductions to subjects that they may be considering for undergraduate study or those looking for helpful preparatory reading for undergraduate modules in the prospective subject. Also useful for undergraduate psychology-students who feel that they could benefit from some background reading in this often less-understood area of psychology.

Raymond S. Bradley provides his readers with a comprehensive and up-to-date review of all of the important methods used in paleoclimatic reconstruction, dating and paleoclimate modeling. Two comprehensive chapters on dating methods provide the foundation for all paleoclimatic studies and are followed by up-to-date coverage of ice core research, continental geological and biological records, pollen analysis, radiocarbon dating, tree rings and historical records. New methods using alkenones in marine sediments and coral studies are also described. Paleoclimatology, Second Edition, is an essential textbook for advanced undergraduate and postgraduate students studying climatology, paleoclimatology and paleooceanography worldwide, as well as a valuable reference for lecturers and researchers, appealing to archaeologists and scientists interested in environmental change.* Contains two up-to-date chapters on dating methods* Consists of the latest coverage of ice core research, marine sediment and coral studies, continental geological and biological records, pollen analysis, tree rings, and historical records* Describes the newest methods using alkenones in marine sediments and long continental pollen records* Addresses all important methods used in paleoclimatic reconstruction* Includes an extensive chapter on the use of models in paleoclimatology* Extensive and up-to-date bibliography* Illustrated with numerous comprehensive figure captions

A systematic, unifying approach to the dynamics of the ocean and atmosphere is given in this book, with emphasis on the larger-scale motions (from a few kilometers to global scale). The foundations of the subject (the equations of state and dynamical equations) are covered in some detail, so that students with training in mathematics should find it a self-contained text. Knowledge of fluid mechanics is helpful but not essential. Simple mathematical models are used to demonstrate the fundamental dynamical principles with plentiful illustrations from field and laboratory.

Global Physical Climatology is an introductory text devoted to the fundamental physical principles and problems of climate sensitivity and change. Addressing some of the most critical issues in climatology, this text features incisive coverage of topics that are central to understanding orbital parameter theory for past climate changes, and for anthropogenic and natural causes of near-future changes--Key Features* Covers the physics of climate change* Examines the nature of the current climate and its previous changes* Explores the sensitivity of climate and the mechanisms by which humans are likely to produce near-future climate changes* Provides instructive end-of-chapter exercises and appendices

An Introduction to Dynamic Meteorology, Fourth Edition presents a cogent explanation of the fundamentals of meteorology, and explains storm dynamics for weather-oriented meteorologists. This revised edition features updated treatments on climate dynamics, tropical meteorology, middle atmosphere dynamics, and numerical prediction. It contains a wealth of illustrations to elucidate text and equations, plus end-of-chapter problems. This book is recommended for senior and graduate students in meteorology and atmospheric science, as well as atmospheric scientists desiring a broad overview of dynamical meteorology. Provides clear physical explanations of key dynamical principles Contains a wealth of illustrations to elucidate text and equations, plus end-of-chapter problems Holton is one of the leading authorities in contemporary meteorology, and well known for his clear writing style NEW IN THIS EDITION Updated treatments on climate dynamics, tropical meteorology, middle atmosphere dynamics, and numerical prediction

Discover how planes get--and stay--airborne Now you can truly master an understanding of the phenomenon of flight. This practical guide is the most intuitive introduction to basic flight mechanics available. Understanding Flight, Second Edition, explains the principles of aeronautics in terms, descriptions, and illustrations that make sense--without complicated mathematics. Updated to include helicopter flight fundamentals and aircraft structures, this aviation classic is required reading for new pilots, students, engineers, and anyone fascinated with flight. Understanding Flight, Second Edition, covers: Physics of flight Wing design and configuration Stability and control Propulsion High-speed flight Performance and safety Aerodynamic testing Helicopters and autogyros Aircraft structures and materials  

A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.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.