Python data mining and machine learning in action

本書從一個生活化的小插曲展開：小女孩 Tiana 追著跑向回收車的狗狗 Bubbles，也意外踏上一趟認識回收世界的旅程。跟著她走進資源回收場，孩子將看見紙張、塑膠、金屬與玻璃如何被分類、壓縮，再變成全新的物品。故事以輕快節奏串起清楚的知識說明，讓「回收之後發生了什麼事」不再抽象。適合親子共讀與課堂延伸，讓環保行動從日常開始。After their dog Bubbles chases after the recycling truck, Tiana and her family set off on a search to the Materials Recovery Facility, learning about recycling along the way. Exploring the MRF on their adventure, they see how papers, plastics, metals, and glass are collected, sorted, and baled, and then sent to be made into new products. Based on facts about the process of recycling in industrial countries, this book will help children understand the importance of recycling to save natural resources, as well as how they can take action in their own communities.

Converting today's onslaught of information into usable knowledge is one of the main challenges facing us in the modern era. This volume covers a wide range of topics, from ontology learning to data m

Prepare for exams and succeed in your statistics course with this comprehensive solutions manual! Featuring worked out-solutions to the problems in STATISTICS: THE EXPLORATION & ANALYSIS OF DATA,

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, error estimation and resampling, obtaining statistical significance as well as selecting appropriate domains for evaluation. They also present a unified evaluation framework and highlight how different components of evaluation are both significantly interrelated and interdependent. The techniques presented in the book are illustrated using R and WEKA, facilitating better practical insight as well as implementation. Aimed at researchers in the theory and applications of machine learning, this book offers a solid basis for c

This book is designed for a data structures and algorithms course that uses Python. A key objective is to provide a "back to basics" approach to learning data structures and algorithms without overwh

Being a critical reader of numerical information is an integral part of being literate in today's data-drenched world. Uniquely addressing both mathematics and language issues, this text shows how cri

Being a critical reader of numerical information is an integral part of being literate in today’s data-drenched world. Uniquely addressing both mathematics and language issues, this text shows h

Klepper and Cobert, pharmacovigilance consultants, provide drug safety professionals, pharmaceutical and clinical research scientists and others in the field, with information on the analysis, summary

Thoroughly examining brain-behavior relationships in atypically developing children, this important volume integrates theories and data from multiple disciplines. Leading authorities present research

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from real-world research, are accompanied by commentary on what is done and why. The companion website has code and datasets, allowing readers to reproduce all analyses, along with solutions to selected exercises and updates. Assuming basic statistical knowledge and some experience with data analysis (but not R), the book is ideal for research scientists, final-year undergraduate or graduate-level students of applied statistics, and practising statisticians. It is both for learning and for reference. This third edition expands upon topics such as Bayesian inference for regression, errors in variables, generalized linear mixed models, and random forests.

Although there has been a surge in our understanding of children's vocabulary growth, theories of word learning lack a primary focus on verbs and adjectives. Researchers throughout the world recogniz

How do children learn to talk? This fundamental question continues to be a subject of lively and contentious debate among linguists and psychologists. Originally published in 1980, Dr McShane's discerning analysis of the theoretical issues involved takes account of the contribution of speech-act theory and of Gricean meaning theory to our understanding of communication. The wide-ranging discussion of the work of other researchers provides the reader with a clear perspective in which to assess Dr McShane's own approach. Dr McShane shows that limited, but effective, communication is possible in the absence of words, and then traces the genesis of communication through the one-word stage to the development of grammatically structured utterances. His arguments are supported by data from the longitudinal study he carried out with six children between the ages of one and two years. This study and its implications were important for all those professionally interested in language development.

Kernel methods have long been established as effective techniques in the framework of machine learning and pattern recognition, and have now become the standard approach to many remote sensing applica

A presentation of how data mining can be used to address the modern problem of data overload in science and engineering domains. This book will be useful for data mining practitioners, students learni

Where teaching is concerned, readers of this volume come to know how teachers experience professional development in book clubs, Critical Friends Groups, and teacher research groups and how action res

Where teaching is concerned, readers of this volume come to know how teachers experience professional development in book clubs, Critical Friends Groups, and teacher research groups and how action res

A set of fourteen teaching and learning units on women's human rights. It is designed to identify key issues in women's human rights, define concepts, outline different methodologies for achieving wom

Basing their ideas upon empirical data gathered from 2005 to 2008 in Australia, the authors (Smyth, Angus and McInerney, education, U. of Ballarat; Down, education, Murdoch U.) move beyond the usual p

This book is a primer on fMRI for statisticians interested in learning more about this fascinating subject and the many statistical challenges inherent in functional neuroimaging data, laying out the

This book is a primer on fMRI for statisticians interested in learning more about this fascinating subject and the many statistical challenges inherent in functional neuroimaging data, laying out the

This book is the result of research from over fifteen countries, asking which background and environmental factors influence achievement in mathematics and science. This research is based on data from

Object-Oriented scripting with Perl and Python Scripting languages are becoming increasingly important for software development. These higher-level languages, with their built-in easy-to-use data str

This text emphasizes the reflective processes used in planning and conducting action research studies, data analysis techniques (quantitative and qualitative), and displaying and explaining results. I

Data from neuropsychological and animal research suggest that the hippocampus plays a pivotal role in two relatively different areas: active navigation, as well as episodic learning and memory. Recent

The rapid advancement in the theoretical understanding of statistical and machine learning methods for semisupervised learning has made it difficult for nonspecialists to keep up to date in the field.

"Learning they’re about to become a dad is one of the biggest, most exhilirating and most terrifying moments in a man’s life. Everything changes from the moment they find out straight through the next

Synthesizing the breadth of current knowledge on brain-behavior relationships in atypically developing children, this important volume integrates theories and data from multiple disciplines. Leading

An illustrated collection of 61 strategies-and the where, what, why, how, and when to use each one-plus examples of plans in action for results-oriented teams.

Rather than focusing on why the states did not contribute to the national government under the Articles of Confederation, Collective Action under the Articles of Confederation asks why they, in fact, did - even when they should not have been expected to contribute. Why did states pay large portions of their requisitions to the federal government when problems of collective action and the lack of governmental incentives suggest that they should not have? Using original data on Continental troop movements and federal debt holdings within each state, in this 2001 book, Dougherty shows that states contributed to the national government when doing so produced local gains. Such a theory stands in stark contrast to the standard argument that patriotism and civic duty encouraged state cooperation. Material incentives and local interests bound the union together and explained the push for constitutional reform more than the common pursuit of mutual goals.

In 1982, Springer published the English translation of the Russian book Estimation of Dependencies Based on Empirical Data which became the foundation of the statistical theory of learning and general

This study examines the variation between children in early language development, focusing on their acquisition of the auxiliary verb. Learning auxiliary verbs and the syntactic and pragmatic functions with which they are associated is an essential component in the child's language development from an early stage. At the same time, children vary extensively in the age and stage at which auxiliaries emerge and also in the style and rate at which subsequent development takes place. Some aspects of this variation have been linked with the quality of interaction with the child's conversation partners, others with a tendency to acquire language holistically through unanalysed 'chunks'. Using data drawn both from the Bristol Longitudinal Study of Language Development and from independent case studies conducted in Wales, Dr Richards points to a number of important areas of variation between children, for example in sequence of syntactic development and in the relationship between pragmatic an

These Bible stories set to familiar tunes or in simple action rhymes make learning the Bible fun and interactive.HeartShaperR Resources help children of all ages discover God's love and interact with

Data mining, or knowledge discovery, has become an indispensable technology for businesses and researchers in many fields. Drawing on work in such areas as statistics, machine learning, pattern recog

This book illustrates a set of tools - story grammars, relational data models, and network models - that can be profitably used for the collection, organization, and analysis of narrative data in socio-historical research. A story grammar, or Subject-Action-Object and their modifiers, is the linguistic tool the author uses to structure narrative for the purpose of collecting event data. Relational database models make such complex data collection schemes practically feasible in a computer environment. Finally, network models are a statistical tool best suited to analyze this type of data. Driven by the metaphors of the journal (from … to) and the alchemy (words into numbers), the book leads the reader throughout a number of paths, from substantive to methodological issues, across time and disciplines: sociology, linguistics, literary criticism, history, statistics, computer science, philosophy, cognitive psychology, political science.

Ensure that all school decisions are made in the best interest of children and their success with this first-ever published field guide promoting child development and learning.

A detailed examination of learning classifier systems (LCS), a form of machine learning system, which incorporates both Evolutionary Algorithms and Reinforcement Learning Algorithms.

Computerized data acquisition systems are often the principle method of recording experimental results. This book takes the reader step-by-step through the process of data acquisition and analysis, explaining how to set up the systems and then obtain useful information from the data recorded. In an easy-to-read style, it guides researchers through the basics of data acquisition systems, explains the important underlying concepts, and gives numerous examples of how to analyze the recorded information. While aimed at researchers in the life sciences, the topics covered are general and will be valuable to anyone interested in learning to use data acquisition systems. The principles can be applied to the collection of data from respiratory apparatus to behavioral science experiments, and a host of other situations. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. This book is an invaluable tool for the non-engineer who is collecting and analyz

Computerized data acquisition systems are often the principle method of recording experimental results. This book takes the reader step-by-step through the process of data acquisition and analysis, explaining how to set up the systems and then obtain useful information from the data recorded. In an easy-to-read style, it guides researchers through the basics of data acquisition systems, explains the important underlying concepts, and gives numerous examples of how to analyze the recorded information. While aimed at researchers in the life sciences, the topics covered are general and will be valuable to anyone interested in learning to use data acquisition systems. The principles can be applied to the collection of data from respiratory apparatus to behavioral science experiments, and a host of other situations. Many illustrations and worked examples accompany the text, and the mathematics are kept simple. This book is an invaluable tool for the non-engineer who is collecting and analyz

Rather than focusing on why the states did not contribute to the national government under the Articles of Confederation, Collective Action under the Articles of Confederation asks why they, in fact, did - even when they should not have been expected to contribute. Why did states pay large portions of their requisitions to the federal government when problems of collective action and the lack of governmental incentives suggest that they should not have? Using original data on Continental troop movements and federal debt holdings within each state, in this 2001 book, Dougherty shows that states contributed to the national government when doing so produced local gains. Such a theory stands in stark contrast to the standard argument that patriotism and civic duty encouraged state cooperation. Material incentives and local interests bound the union together and explained the push for constitutional reform more than the common pursuit of mutual goals.

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