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Mathematical Problems in Data Science

of data science problems including machine learning methods, mathematical image and video processing, topological data analysis, and statistical;

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Mechanistic Data Science for STEM Education and Applications

This book introduces Mechanistic Data Science (MDS) as a structured methodology for combining data science tools with mathematical;

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Advances in Econometrics, Operational Research, Data Science and Actuarial Studies

in related fields. To this end, they are showing the use of mathematical, statistical, and actuarial modeling, and concepts from data science to;

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Data Science: Theory and Applications

generalized extreme value distribution, Bayesian Methods in Data Science, Mathematical Modeling in Health Economic Evaluations, Data Science in Cancer;

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The Many Facets of Complexity Science

This book explores recent developments in theoretical research and data analysis of real-world complex systems, organized in three parts;

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Advanced Common Core Math Explorations

learn powerful mathematical ideas about data and chance as they make sense of real-world situations from science, sports, and everyday life;

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Data Science in Theory and Practice - Techniques for Big Data Analytics and Complex Data Sets

and Practice delivers a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various;

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Uncertain Information and Linear Systems

, in order to have an appropriate and flexible mathematical model, every intelligent system requires real data on our environment. Presenting;

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Uncertain Information and Linear Systems

, in order to have an appropriate and flexible mathematical model, every intelligent system requires real data on our environment. Presenting;

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Mathematical Foundation for Computer Science

Mathematical Foundation For Computer Science , a textbook covers mathematical logic, Normal Forms, Graphs, Trees and Relations. The;

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Exploring Mathematical Modeling in Biology Through Case Studies and Experimental Activities

and model development in the context of real data. The supporting mathematical, coding and biological background permit readers to explore a;

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Inverse Problems in the Mathematical Sciences

Inverse problems are immensely important in modern science and technology. However, the broad mathematical issues raised by inverse;

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Statistics for Environmental Science and Management

-mathematical approach while keeping essential mathematical concepts intact. He clearly explains statistics without dwelling on heavy mathematical;

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Data Science

submissions. The papers focus on the following topics: mathematical issues in data science; big data issues and applications; data quality and data;

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Applied Statistics for Environmental Science with R

the process and implementation of unique data Presents statistical theory in a simple way without complex mathematical proofs

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Python for Data Science

Do you want to know how Data science works? Learning data science with Python can be intimidating at times due to the;

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Mathematical Logic In Asia - Proceedings Of The 9th Asian Logic Conference

This volume is devoted to the main areas of mathematical logic and applications to computer science. There are articles on weakly o-minimal;

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A Python Data Analyst s Toolkit

Explore the fundamentals of data analysis, and statistics with case studies using Python. This book will show you how to confidently write;

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Data-Handling in Biomedical Science

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The;

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Data-Handling in Biomedical Science

Packed with worked examples and problems, this book will help the reader improve their confidence and skill in data-handling. The;

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Quantitative Medical Data Analysis Using Mathematical Tools And Statistical Techniques

biomedical sciences. Topics include mathematical models for cancer invasion and clinical sciences, data mining techniques and subset selection;

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Mathematical Foundations of Data Science Using R

worldwide importance. The book gives the mathematical foundations to handle data properly. It introduces basics and functionalities of the R;

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New Mathematical Methods for Analyzing Political Discourse

Our research aims, first of all, at reviewing the mathematical methods and computer science tools used by specialists in political science;

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Data Mining

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications;

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Data Mining

This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications;

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Applied Mathematical Physics

Mathematical physics is the field of science that is concerned with the development of mathematical methods for applications to the;

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Principles of Managerial Statistics and Data Science

and Data Science include:data visualization; descriptive measures; probability; probability distributions; mathematical expectation;

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