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Principles and Methods for Data Science

Principles and Methods for Data Science, Volume 43 in the Handbook of Statistics series, highlights new advances in the field, with;

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Statistics for Data Scientists

This book provides an undergraduate introduction to analysing data for data science, computer science, and quantitative social science;

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Data Theory Interpretive Sociology and Computational Methods

The datafication of our world offers huge challenges and opportunities for social science. The 'data-drivenness' of computational research;

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Data Theory Interpretive Sociology and Computational Methods

The datafication of our world offers huge challenges and opportunities for social science. The 'data-drivenness' of computational research;

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Statistical Foundations, Reasoning and Inference

for a two-semester course and is intended for master's students in data science, statistics and computer science with a rudimentary grasp;

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Learning from Data

unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which;

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Practical Statistics for Data Scientists

can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Principles of Modeling Uncertainties in Spatial Data and Spatial Analyses

for spatial data and spatial analysis is an important branch of that theory. Principles of Modeling Uncertainties in Spatial Data and Spatial;

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Principles of Data Science

readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication;

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Big Data and Social Science

in statistics, the social sciences, data science, and computer science to teach students how to use modern social science research principles as well as;

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Principles and Theory for Data Mining and Machine Learning

Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics;

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Principles of Managerial Statistics and Data Science

Principles of Managerial Statistics and Data Science is a textbook for undergraduate and graduate students taking managerial Statistics courses, and;

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Data Science & Big Data Analytics

Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and;

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Big Data and Social Science

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to;

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Big Data and Social Science

Big Data and Social Science: Data Science Methods and Tools for Research and Practice, Second Edition shows how to apply data science to;

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Data Science

privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.;

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Mathematical Problems in Data Science

, and various learning methods. For unsolved problems such as incomplete data relation and reconstruction, the book includes possible solutions;

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Data Science for Wind Energy

maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal;

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Data Science for Wind Energy

maintenance optimization for wind turbines and wind farms. A broad set of data science methods covered, including time series models, spatio-temporal;

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Mechanistic Data Science for STEM Education and Applications

principles. MDS is presented here in six easy-to-follow modules: 1) Multimodal data generation and collection, 2) extraction of mechanistic features;

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Big Data Meets Survey Science

Offers a clear view of the utility and place for survey data within the broader Big Data ecosystem This book presents a collection;

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Data Science for Nano Image Analysis

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type;

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Data Science for Nano Image Analysis

This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type;

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Intelligent Data Analysis in Science

Scientists have been enthusiastic advocates of computational methods of data analysis for as long as computers have been widely available;

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Principles of Scientific Methods

principles and presents analogies to connect different methods or problems to arrive at a general principle or a common notion. He mainly discusses a;

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Principles of Scientific Methods

principles and presents analogies to connect different methods or problems to arrive at a general principle or a common notion. He mainly discusses a;

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