Python data mining and machine learning in action

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

The book focuses on machine learning. Divided into three parts, the first part discusses the feature selection problem. The second part then describes the application of machine learning in the classi

The standard approach to regulating working hours rests on gendered assumptions about how paid and unpaid work ought to be divided. In this book, Ania Zbyszewska takes a feminist, socio-legal approach to evaluate whether the contemporary European working time regimes can support a more equal sharing of this work. Focusing on the legal and political developments surrounding the EU's Working Time Directive and the reforms of Poland's Labour Code, Zbyszewska reveals that both regimes retain this traditional gender bias, and suggests the reasons for its persistence. She employs a wide range of data sources and uses the Polish case to assess the EU influence over national policy discourse and regulation, with the broader transnational policy trends also considered. This book combines legal analysis with social and political science concepts to highlight law's constitutive role and relational dimensions, and to reflect on the relationship between discursive politics and legal action.

Fold, decorate & play!Learning to fold simple paper models is just the beginning in Origami Games for Kids! Children of all ages can enjoy playing 15 interactive games with their finished origami craf

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this

Reinforcement Learning for Optimal Feedback Control develops model-based and data-driven reinforcement learning methods for solving optimal control problems in nonlinear deterministic dynamical system

This book helps readers understand the mathematics of machine learning, and apply them in different situations. It is divided into two basic parts, the first of which introduces readers to the theory

"Provides students with key data to understand the roots of the issues that make contemporary migration and immigration so contentious around the globe"--

The first step on your path to success…Foundation in Kinesiology and Biomechanics and Kinesiology in Action work together to create a complete learning experience that builds the foundatio