Python data mining and machine learning in action

Implement real-time data processing applications on the Raspberry Pi. This book uniquely helps you work with data science concepts as part of real-time applications using the Raspberry Pi as a localized cloud. You'll start with a brief introduction to data science followed by a dedicated look at the fundamental concepts of Python programming. Here you'll install the software needed for Python programming on the Pi, and then review the various data types and modules available. The next steps are to set up your Pis for gathering real-time data and incorporate the basic operations of data science related to real-time applications. You'll then combine all these new skills to work with machine learning concepts that will enable your Raspberry Pi to learn from the data it gathers. Case studies round out the book to give you an idea of the range of domains where these concepts can be applied. By the end of Data Science with the Raspberry Pi, you'll understand that many applications are now de

This book draws together the perceptions and experiences from a range of international professionals with specific reference to food education. It presents a variety of teaching, learning and curriculum design approaches relating to food across primary, secondary and vocational school education, undergraduate initial teacher education programs, and in-service professional development support contexts. Contributions from authors of a variety of background and countries offer insight into some of the diverse issues in food education internationally, lessons to be learned from successes and failures, including action points for the future. The book will be both scholarly and useful to teachers in primary and secondary schools.

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques.Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/un

Web Semantics strengthen the description of web resources to exploit them better and make them more meaningful for both humans and machines, thereby contributing to the development of a knowledgeintensive data web. The world is experiencing the movement of concept from data to knowledge and the movement of web from document model to data model. The underlying idea is making the data machine understandable and processable.In the light of these trends, conciliation of Semantic and the Web is of paramount importance for further progress in the area. Web Semantics: Cutting Edge and Future Directions in Healthcare describes the three major components of the study of Semantic Web, namely Representation, Reasoning, and Security with a special focus on the healthcare domain. This book summarizes the trends and current research advances in web semantics, emphasizing the existing tools and techniques, methodologies, and research solutions.It provides easily comprehensible information on Web Sema

A data-driven exploration of how children’s language learning varies across different languages, providing both a theoretical framework and reference.The Wordbank Project examines variability and cons

●SPSS examples include problems using the 2018 General Social Survey, the Pew Research Center's Core Trends Survey and databases that incorporate information from the 50 states and a diverse group of nations.●A new emphasis is placed on the same "real data" that most industries now use to make evidence-based decisions. In every chapter, hypothetical examples have been replaced with new data used by professionals working on current issues in social policy research, market research, social work, education and other fields. These are now featured in Social Research and Data Analysis boxes.●Highlighting the careers in data analysis that social science students can now pursue, new end-of-chapter problems have been added on social policy and market research topics to complement the text's traditional problems in sociology, social work, political science, criminal justice, public administration and gerontology.●All the sections on politics (including the most recent general election), crimina

Based on interdisciplinary research into 'Directional Change', a new data-driven approach to financial data analysis, this book applies machine learning to financial market monitoring and algorithmic

Proportionality in Action presents an empirical and comparative exploration of the proportionality doctrine, based on detailed accounts of the application of the framework by apex courts in six jurisdictions: Germany, Canada, South Africa, Israel, Poland and India. The analysis of each country is written and contextualized by a constitutional scholar from the relevant jurisdiction. Each country analysis draws upon a large sample of case law and employs a mixed methodological approach: an expansive coding scheme allows for quantitative analysis providing comparable and quantifiable measurements, which is enriched by qualitative analysis that engages with the substance of the decisions and captures nuance, contextualizing the data and providing it with meaning. The book concludes with a comparative chapter that synthesizes some of the most interesting findings. Focusing on deviations of the practice of proportionality from theory, the authors conclude their argument in support of an inte

Economist and award-winning author Sylvia Ann Hewlett blends vivid stories with powerful new data in assessing the impact of the #MeToo movement in corporate America and provides concrete action to he

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the

The Earth and environmental sciences are becoming progressively more quantitative due to the increased use of mathematical models and new data analysis techniques. This accessible introduction presents an overview of the mathematical methods essential for understanding Earth processes, providing an invaluable resource for students and early career researchers who may have missed (or forgotten) the mathematics they need to succeed as scientists. Topics build gently from basic methods such as calculus to more advanced techniques including linear algebra and differential equations. The practical applications of the mathematical methods to a variety of topics are discussed, ranging from atmospheric science and oceanography to biogeochemistry and geophysics. Including over 530 exercises and end-of-chapter problems, as well as additional computer codes in Python and MATLAB®, this book supports readers in applying appropriate analytical or computational methods to solving real research questi

Implement machine learning models in your iOS applications. This short work begins by reviewing the primary principals of machine learning and then moves on to discussing more advanced topics, such as

This book combines the advantages of high-dimensional data visualization and machine learning in the context of identifying complex n-D data patterns. It vastly expands the class of reversible lossles

Why do vote-suppression efforts sometimes fail? Why does police repression of demonstrators sometimes turn localized protests into massive, national movements? How do politicians and activists manipulate people's emotions to get them involved? The authors of Why Bother? offer a new theory of why people take part in collective action in politics, and test it in the contexts of voting and protesting. They develop the idea that just as there are costs of participation in politics, there are also costs of abstention - intrinsic and psychological but no less real. That abstention can be psychically costly helps explain real-world patterns that are anomalies for existing theories, such as that sometimes increases in costs of participation are followed by more participation, not less. The book draws on a wealth of survey data, interviews, and experimental results from a range of countries, including the United States, Britain, Brazil, Sweden, and Turkey.

Why do vote-suppression efforts sometimes fail? Why does police repression of demonstrators sometimes turn localized protests into massive, national movements? How do politicians and activists manipulate people's emotions to get them involved? The authors of Why Bother? offer a new theory of why people take part in collective action in politics, and test it in the contexts of voting and protesting. They develop the idea that just as there are costs of participation in politics, there are also costs of abstention - intrinsic and psychological but no less real. That abstention can be psychically costly helps explain real-world patterns that are anomalies for existing theories, such as that sometimes increases in costs of participation are followed by more participation, not less. The book draws on a wealth of survey data, interviews, and experimental results from a range of countries, including the United States, Britain, Brazil, Sweden, and Turkey.

The healthcare systems in the US and globally are undergoing a period of rapid transformation. Medical technology breakthroughs, economic pressures and demographic trends are driving that transformati