Python data science essentials

A comprehensive introduction to the theory and practice of contemporary data science analysis for railway track engineering Featuring a practical introduction to state-of-the-art data analysis for rai

This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive e

Data mining is a branch of computer science. It has a wide scope as it integrates principles from diverse fields such as artificial intelligence, statistics, etc. It uses sophisticated algorithms and

With practical and realworld examples from data mining to statistics to service science to decision making, this is the first mathematically rigorous treatment of healthcare analytics. Appropriate for

Data mining is an important branch of computer science and information technology management that deals with the discovery and analysis of datasets. This book covers in detail some existent theories a

Navigate 2 Essentials Access unlocks a complete audio book, Assessment Center, and dashboard that reports actionable data. Experience Navigate 2 today at www.jblnavigate.com/2.In 1971, the American Ac

Essentials of Programming in Mathematica® provides an introduction suitable for readers with little or no background in the language as well as for those with some experience using programs such as C, Java, or Perl. The author, an established authority on Mathematica® programming, has written an example-driven text that covers the language from first principles, as well as including material from natural language processing, bioinformatics, graphs and networks, signal analysis, geometry, computer science, and many other applied areas. The book is appropriate for self-study or as a text for a course in programming in computational science. Readers will benefit from the author's tips, which provide insight and suggestions on small and large points. He also provides more than 350 exercises from novice through to advanced level with all of the solutions available online.

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

This book presents innovative work in Climate Informatics, a new field that reflects the application of data mining methods to climate science, and shows where this new and fast growing field is heade

This book contains a selection of papers from the 16th International Symposium on Spatial Data Handling (SDH), the premier long-running forum in geographical information science. This collection offer

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overvi

Decision trees have become one of the most powerful and popular approaches in knowledge discovery and data mining; it is the science of exploring large and complex bodies of data in order to discover

Science and the Law: Analytical Data in Support of Regulation in Health, Food, and the Environment originated at an ACS symposium of the same name which aimed to explore the interaction between scienc

"Big Data" is on the covers of Science, Nature, the Economist, andWired magazines, on the front pages of the Wall Street Journal and theNew York Times. But despite the media hyperbol

The cognitive science of religion is an inherently heterogeneous subject, incorporating theory and data from anthropology, psychology, sociology, evolutionary biology, and philosophy of mind amongst o

Drawing on data generated by the EU’s Interests and Recruitment in Science (IRIS) project, this volume examines the issue of young people’s participation in science, technology, engineering and mathem

Advances in social science research methodologies and data analytic methods are changing the way research in information systems is conducted. New developments in statistical software technologies for

Data and Computer Communications, 10e, is a two-time winner of the best Computer Science and Engineering textbook of the year award from the Textbook and Academic Authors Association. It is ideal for

Machine learning allows computational systems to adaptively improve their performance with experience accumulated from the observed data. Its techniques are widely applied in engineering, science, fin

The world is awash with digital data from social networks, blogs, business, science and engineering. Data-intensive computing facilitates understanding of complex problems that must process massive amounts of data. Through the development of new classes of software, algorithms and hardware, data-intensive applications can provide timely and meaningful analytical results in response to exponentially growing data complexity and associated analysis requirements. This emerging area brings many challenges that are different from traditional high-performance computing. This reference for computing professionals and researchers describes the dimensions of the field, the key challenges, the state of the art and the characteristics of likely approaches that future data-intensive problems will require. Chapters cover general principles and methods for designing such systems and for managing and analyzing the big data sets of today that live in the cloud and describe example applications in bioin

Essentials of Autopsy Practice: Innovations, Updates and Advances in Practice is the fifth volume in the Essentials in Autopsy Practice series, covering topics of current and future interest. Designed

Soft computing, as an engineering science, and statistics, as a classical branch of mathematics, emphasize different aspects of data analysis.Soft computing focuses on obtaining working solutions quic

This book provides a cross-section of cutting-edge research areas being pursued by researchers in spatial data handling and geographic information science (GIS). It presents selected papers on the adv

A quick guide to the essentials of literature, history, art, music, science, sports, and more, along with how to win an argument and tell a joke-the ABCs of genius

Applied Data Analysis and Modeling for Energy Engineers and Scientists fills an identified gap in engineering and science education and practice for both students and practitioners. It demonstrates ho

Kantardzic (computer engineering and science, U. of Louisville) offers students a single-volume introduction to the methods, tools, and algorithms in data mining that can also be used as a broad, if s

Data structure and software engineering is an integral part of computer science, which, as a whole, is the study of the theoretical foundations of information and computation and of practical techniqu

As a leading member of the Vienna Circle, RudolphCarnap's aim was to bring about a 'unified science' by applying a method of logical analysis to the empirical data of all the sciences. This work

Essentials of Globalization is a highly useful compact edition of the author's full-scale textbook, Globalization: A Basic Text. The Essentials is written in a style accessible to undergraduates, and

Statistical methods provide a logical, coherent framework in which data from experimental science can be analyzed. However, many researchers lack the statistical skills or resources that would allow

Data assimilation methods were largely developed for operational weather forecasting, but in recent years have been applied to an increasing range of earth science disciplines. This book will set out

Meant for those in government agencies, practicing managers, and academicians, this volume details how data mining can be used at various levels of management. Syvajarvi (administrative science, Lapla

Statistical science’s first coordinated manual of methods for analyzing ordered categorical data, now fully revised and updated, continues to present applications and case studies in fields as

Praise for Audit Committee Essentials "Audit Committee Essentials is an excellent and comprehensive resource, documented with key references and illustrated with real-life company examples for all ty

With a definition of geographic information science so broad as to include any aspect of the capture, storage, integration, management, retrieval, display, analysis, and modeling of spatial data and a

"This book has succeeded in covering the basic chemistry essentials required by the pharmaceutical science student… the undergraduate reader, be they chemist, biologist or pharmacist will find t

In GIS Investigations: Earth Science, students use powerful, state-of-the-art GIS software and data backed by current scientific research to investigate a wide variety of topics in the Earth Sciences

Thermodynamics in Materials Science, Second Edition is a clear presentation of how thermodynamic data is used to predict the behavior of a wide range of materials, a crucial component in the decision-

Sensory evaluation is the perception science of the food industry. Sensory data can be costly to obtain and so gleaning the most information possible from the data is key. Increasingly, value is added

Among the many uses of hierarchical modeling, their application to the statistical analysis of spatial and spatio-temporal data from areas such as epidemiology And environmental science has proven par