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Mechanistic Data Science for STEM Education and Applications

scientific principles (i.e., mechanistic principles) to solve intractable problems. Traditional data science methodologies require copious;

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Data Science from Scratch: First Principles with Python

This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader;

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AI for Data Science

Master the approaches and principles of Artificial Intelligence (AI) algorithms, and apply them to Data Science projects with Python and;

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Data Stewardship for Open Science: Implementing Fair Principles

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and;

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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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Statistical Foundations, Reasoning and Inference

of multivariate distributions, missing data analysis, causality as well as principles of experimental design. The textbook includes sufficient material;

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Principles of Data Science

This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces;

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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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Big Data and Social Science

principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science;

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Big Data and Social Science

principles and current analytical and computational tools. The text teaches you how to identify and collect appropriate data, apply data science;

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Data Stewardship for Open Science

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and;

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Data Stewardship for Open Science

Data Stewardship for Open Science: Implementing FAIR Principles has been written with the intention of making scientists, funders, and;

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Data Structures and Program Design in C

Appropriate for Computer Science II and Data Structures in departments of Computer Science. Progressing from the concrete to the abstract;

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Principles of Data Mining

statistics. The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining;

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Data Science from Scratch First Principles with Python

Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the;

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Knowledge Discovery in Big Data from Astronomy and Earth Observation

geoscience in the context of applications, techniques and key principles of big data. Machine learning and parallel computing are increasingly;

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Principles of Managerial Statistics and Data Science

Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business;

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Data Science for Business and Decision Making

This book explores the principles underpinning data science. It considers the how and why of modern data science. The book goes further;

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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 Science and Digital Business

This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary;

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The Data Science Design Manual

of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for;

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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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Data Science & Big Data Analytics

methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are applicable to any;

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Principles of Strategic Data Science

Take the strategic and systematic approach to analyze data to solve business problems Key Features Gain detailed information about the;

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Measuring the Oceans from Space: The Principles and Methods of Satellite Oceanography

This book covers the fundamental principles of measuring oceans from space, and also contains state-of-the-art developments in data;

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Introduction to Data Science

principles Introduces Data Wranglin topics such as web scrapping, using regular expressions, and joining and reshaping data tables using the;

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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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