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Mathematical Foundations of Data Science Using R

The aim of the book is to help students become data scientists. Since this requires a series of courses over a considerable period of time;

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The Mathematics of Data

Data science is a highly interdisciplinary field, incorporating ideas from applied mathematics, statistics, probability, and computer;

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Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary;

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Data Science Foundations

Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of...quite different from;

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Data Science Foundations

Data Science Foundations is most welcome and, indeed, a piece of literature that the field is very much in need of...quite different from;

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SOFSEM 2020: Theory and Practice of Computer Science

sub-area of SOFSEM 2020: foundations of computer science, foundations of data science and engineering, foundations of software engineering;

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Mathematical Foundations of Data Science Using R

In order best exploit the incredible quantities of data being generated in most diverse disciplines data sciences increasingly gain;

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SOFSEM 2021: Theory and Practice of Computer Science

organized in topical sections on: foundations of computer science; foundations of software engineering; foundations of data science and engineering;

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On the Epistemology of Data Science

This book addresses controversies concerning the epistemological foundations of data science: Is it a genuine science? Or is data science;

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Statistical Foundations of Data Science

Provides theoretical insights and justification of the statistical procedures for the analysis of high-dimensional data Presents a general;

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Computer Science Unleashed

A walkthough of networking, data science and computer security. Designed for readers who don't care for academic formalities, it's a;

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Data Science for Social Good

This book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of Data Science for Social;

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Statistical Foundations, Reasoning and Inference

and data science. The topics covered include likelihood-based inference, Bayesian statistics, regression, statistical tests and the;

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Concise Guide to Computing Foundations

mechanics of materials, geographic information systems, flow analysis, the solving of equations, curve fitting, optimization, and scientific data;

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Concise Guide to Computing Foundations

mechanics of materials, geographic information systems, flow analysis, the solving of equations, curve fitting, optimization, and scientific data;

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Doing Data Science in R

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;

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Mathematical Foundations of Computer Science 2011

selected from 129 submissions. Topics covered include algorithmic game theory, algorithmic learning theory, algorithms and data structures;

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Foundational Python for Data Science

Data science and machine learning-two of the world's hottest fields-are attracting talent from a wide variety of technical, business, and;

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Data Science And Knowledge Engineering For Sensing Decision Support - Proceedings Of The 13th International Flins Conference

computational intelligence systems, with special focuses on data science and knowledge engineering for sensing decision support, both from the;

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Longitudinal and Panel Data

This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These;

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Longitudinal and Panel Data

This focuses on models and data that arise from repeated observations of a cross-section of individuals, households or companies. These;

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The Data Science Framework

This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science;

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The Data Science Framework

This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science;

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Digital And The Real World, The: Computational Foundations Of Mathematics, Science, Technology, And Philosophy

dominated by powerful algorithms and big data. But, how computable is our world? Some people believe that successful problem solving in science;

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Foundations of Data Science

This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high;

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