Optimization for data analysis
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Optimization for Data Analysis
Optimization techniques are at the core of data science. An understanding of the basic techniques and their fundamental properties provides important
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Julia for Data Analysis
Julia for Data Analysis teaches you how to handle core data analysis tasks with the Julia programming language. You'll start by reviewing language fu
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SQL for Data Analysis
This practical book reveals hidden ways to get the most out of your SQL workflow. You'll learn how to use both common and exotic SQL functions such as
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Computational Topology for Data Analysis
Topological data analysis (TDA) has emerged recently as a viable tool for analyzing complex data in applied domains. This comprehensive text covers th
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Algorithms for Convex Optimization
Algorithms for Convex Optimization are the workhorses of data-driven, technological advancements in machine learning and artificial intelligence. This
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Bayesian Methods for Data Analysis
Presents an introduction to the foundations and applications of Bayesian analysis. This book focuses on hierarchical Bayesian modeling as implemented
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Multivariate Analysis for Neuroimaging Data
This book enables us to analyze statistically brain imaging data. It is meant for a wide range of researchers interested in biostatistics, data scienc
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Python for Geospatial Data Analysis
With this practical book, geospatial professionals, data scientists, business analysts, geographers, geologists, and others familiar with data analysi
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Mathematical Foundations for Data Analysis
This textbook, suitable for an early undergraduate up to a graduate course, provides an overview of many basic principles and techniques needed for mo
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Python for Data Analysis 3e
Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a br
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Analysis of Economic Data
Analysis of Economic Data has, over three editions, become firmly established as a successful textbook for students studying data analysis whose prima
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Object Oriented Data Analysis
Object Oriented Data Analysis (OODA) provides a useful general framework for the consideration of many types of Complex Data. It is deliberately inten
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Data Handling and Analysis
Written specifically to meet the needs of a biomedical science audience, this is the most relevant and useful statistics and data analysis text for bi
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Dyadic Data Analysis
This book offers state-of-the-art solutions by presenting methodological and data-analytic approaches for investigating processes that take place amon
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Video Data Analysis
This book provides an adaptable, step-by-step framework for using and analysing video data in social science research in an ethical, effective way.
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Modes of Thinking for Qualitative Data Analysis
Modes of Thinking for Qualitative Data Analysis argues for engagement with the conceptual underpinnings of five prominent analytical strategies used b
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Data Analysis for Continuous School Improvement
A culmination of over 30 years of doing the hard work in schools and districts both nationally and internationally, Data Analysis for Continuous Schoo
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R for Data Analysis in easy steps
R for Data Analysis in easy steps, 2nd edition is written using a proven easy-to-follow style for maximum appeal. It will be useful to anyone who want
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Statistics and Data Analysis Literacy for Nurses
The only biostatistics resource written specifically for MSN and DNP nursing students, this text provides a unique graphic representation of data to h
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Basic Computational Techniques for Data Analysis
This book is designed to equip students to navigate through MS Excel and basic data computation methods which are essential tools in research or profe
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Experimental Design and Data Analysis for Biologists
Requiring only introductory statistics and basic mathematics, this textbook avoids jargon and provides worked examples, data sets and R code, and revi
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Data Analysis for the Social Sciences
Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows students not only how to
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Introduction to Data Analysis and Uncertainty Quantification for Inverse Problems
Provides a basic introduction to probability and statistics for uncertainty quantification in the context of inverse problems, as well as an introduct
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Compositional Data Analysis in Practice
This concise book presents a very applied introduction to compositional data analysis, focussing on the use of R for analysis. It includes lots of rea
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Graphical Data Analysis with R
This book focuses on why one draws graphics to display data and which graphics to draw (and uses R to do so). Graphical data analysis is useful for da
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Multivariate Data Analysis on Matrix Manifolds
Unlike similar texts, it treats the MDA problems as optimization problems on matrix manifolds defined by the MDA model parameters, allowing them to be
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Advanced Optimization for Motion Control Systems
The book is organized into two parts: Part I focuses on the model-based approaches, and Part II presents the data-based approaches. Industrial problem
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Open Source Software for Statistical Analysis of Big Data
Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statis
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Open Source Software for Statistical Analysis of Big Data
Presents research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statis
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Applied Data Analysis for Urban Planning and Management
With contributions from academics across the globe, this book showcases how you can use data analysis for better and more effective urban planning and
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Bayesian Data Analysis for the Behavioral and Neural Sciences
This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses non-calculus-based mathematics
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Bayesian Data Analysis for the Behavioral and Neural Sciences
This textbook teaches undergraduates in psychology, neuroscience, and medicine modern data analysis techniques. It uses non-calculus-based mathematics
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Hands-On Data Analysis in R for Finance
The textbook is an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries
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Introduction to R and Python for Data Analysis
An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used i
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Next-Generation Sequencing Data Analysis
Next-Generation Sequencing Data Analysis walks readers through NGS data analysis step-by-step for a wide range of NGS applications.
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Statistics and Data Analysis for Microarrays Using R and Bioconductor
Richly illustrated in color, this bestselling text provides a clear and rigorous description of powerful analysis techniques and algorithms for mining
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Basic Computational Techniques for Data Analysis Taylor & Francis Ltd
This book is designed to equip students to navigate through MS Excel and basic data computation methods which are essential tools in research or professional settings and in classrooms. It illustrates the concepts used in research and data analysis and economic and financial decision making in business and in daily life. ...
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Basic Computational Techniques for Data Analysis Taylor & Francis Ltd
This book is designed to equip students to navigate through MS Excel and basic data computation methods which are essential tools in research or professional settings and in classrooms. It illustrates the concepts used in research and data analysis and economic and financial decision making in business and in daily life. ...
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Practical Guide to Data Analysis Using R
Using diverse real-world examples, this book explores the use of R for data analysis, with extensive use of graphical presentation. It assists scienti
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Qualitative Data Analysis with ATLAS.ti
Now updated to cover latest versions and featuring instructions for both Mac and Windows users, this book is still the go-to source of support for g
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Experimental Statistics and Data Analysis for Mechanical and Aerospace Engineers
This book develops foundational concepts in probability and statistics with primary applications in mechanical and aerospace engineering. It was desig
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Next Generation Sequencing and Data Analysis
This textbook provides step-by-step protocols and detailed explanations for RNA Sequencing, ChIP-Sequencing and Epigenetic Sequencing applications.
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Python for Data Analysis 3e: Data Wrangling with pandas, NumPy, and Jupyter - McKinney Wes
Anotace: Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You`ll learn the latest versions of pandas, NumPy, and Jupyter in...
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Data Mining for Social Network Data
Driven by counter-terrorism efforts, marketing analysis and an explosion in online social networking in recent years, data mining has moved to the for
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Python for Data Analysis: A Complete Step By Step From Intermediate to Advanced Guide for Python Coding, NumPy, Pandas for Data Analysis. Improv
If you want to learn how to use python easily and quickly, then keep reading.Are you looking for a simple and efficient method that you can utilize that makes it easier than ever to go through all of that data you have been storing? Would you like to make
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Quantitative Data Analysis with IBM SPSS 17, 18 a 19
The authors provide a non-technical approach to quantitative data analysis and a user-friendly introduction to SPSS Statistics Version 19 for Windows.
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who w
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Data Analysis Using Regression and Multilevel/Hierarchical Models
Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who w
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Qualitative and Mixed Methods Data Analysis Using Dedoose
Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences provides both new and experi
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Applied Categorical and Count Data Analysis Taylor & Francis Ltd
This second edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. It covers classic concepts and popular topics, such as logistic regression models, along with modern areas including models for zero-modified count outcomes. R, SAS, SPSS, and Stata programming codes are provided for all the examples. Designed f...
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High-Dimensional Data Analysis with Low-Dimensional Models
A systematic introduction to the theory, algorithms, and applications of key mathematical models for data science. Covering applications including ima
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Introduction to Python in Earth Science Data Analysis
This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences.
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Data Management for Social Scientists
Much training in quantitative social science focuses on data analysis and fails to equip researchers with the skills to prepare the data required for
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