Essential Math for Data Science

Learn and play with Dr. Seuss in this ultimate 2nd Grade workbook, with over 300 curriculum-based activities ranging from English, math, social emotional learning, to science! This multi-subject, curriculum-based workbook is developed by education experts, designed to give little learners in 2nd Grade a well-balanced education. With perforated pages for easy on-the-go use, your child will learn essential skills for school and life--while having fun! Each playful exercise features familiar Dr. Seuss characters that reinforce school lessons and ensure success in and out of the classroom.This workbook also comes with reward stickers to mark the end of every activity, plus completion certificates for each subject to help build your child's confidence!Your child will learn about: - Independent reading- Parts of speech- Advanced addition and subtraction- The scientific process- Respecting othersAlso available: Dr. Seuss Workbook: Preschool, Dr. Seuss Workbook: Kindergarten, Dr. Seuss Workboo

What is a focus group? Why do we use them? When should we use them? When should we not? Focus Groups for the Social Science Researcher provides a step-by-step guide to undertaking focus groups, whether as a stand-alone method or alongside other qualitative or quantitative methods. It recognizes the challenges that focus groups encounter and provides tips to address them. The book highlights three unique, inter-related characteristics of focus groups. First, they are inherently social in form. Second, the data emerge organically through conversation; they are emic in nature. Finally, focus groups generate data at three levels of analysis: the individual, group, and interactive level. The book builds from these three characteristics to explain when focus groups can usefully be employed in different research designs. This is an essential text for students and researchers looking for a concise and accessible introduction to this important approach to data collection.

What is a focus group? Why do we use them? When should we use them? When should we not? Focus Groups for the Social Science Researcher provides a step-by-step guide to undertaking focus groups, whether as a stand-alone method or alongside other qualitative or quantitative methods. It recognizes the challenges that focus groups encounter and provides tips to address them. The book highlights three unique, inter-related characteristics of focus groups. First, they are inherently social in form. Second, the data emerge organically through conversation; they are emic in nature. Finally, focus groups generate data at three levels of analysis: the individual, group, and interactive level. The book builds from these three characteristics to explain when focus groups can usefully be employed in different research designs. This is an essential text for students and researchers looking for a concise and accessible introduction to this important approach to data collection.

Pragmatic and Adaptable Textbook Meets the Needs of Students and Instructors from Diverse FieldsNumerical analysis is a core subject in data science and an essential tool for applied mathematicians, e

This volume provides a practical introduction to the method of maximum likelihood as used in social science research. Ward and Ahlquist focus on applied computation in R and use real social science data from actual, published research. Unique among books at this level, it develops simulation-based tools for model evaluation and selection alongside statistical inference. The book covers standard models for categorical data as well as counts, duration data, and strategies for dealing with data missingness. By working through examples, math, and code, the authors build an understanding about the contexts in which maximum likelihood methods are useful and develop skills in translating mathematical statements into executable computer code. Readers will not only be taught to use likelihood-based tools and generate meaningful interpretations, but they will also acquire a solid foundation for continued study of more advanced statistical techniques.

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of inte

Written specifically for graduate students and practitioners beginning social science research, Statistical Modeling and Inference for Social Science covers the essential statistical tools, models and theories that make up the social scientist's toolkit. Assuming no prior knowledge of statistics, this textbook introduces students to probability theory, statistical inference and statistical modeling, and emphasizes the connection between statistical procedures and social science theory. Sean Gailmard develops core statistical theory as a set of tools to model and assess relationships between variables - the primary aim of social scientists - and demonstrates the ways in which social scientists express and test substantive theoretical arguments in various models. Chapter exercises guide students in applying concepts to data, extending their grasp of core theoretical concepts. Students will also gain the ability to create, read and critique statistical applications in their fields of inte

Learn how to use PTC Mathcad Prime 3.0, one of the world's leading tools for technical computing, in the context of engineering, science, and math applications. Quickly harness the power of Mathcad to

Students save money by purchasing this bundle which includes Essential Calculus: Early Transcendentals, 2nd Edition and access to Enhanced WebAssign Homework with eBook for Multi-Term Math and Science

This is an essential guide to the data, basic science, outcome studies and decision-making processes involved in blood and marrow stem cell transplantation. Organized according to disease types and procedures, it contains more than 100 tables, figures and algorithms that reflect up-to-date research and give guidance on the choices between different types of chemotherapy, autologous vs. allogeneic transplantation, peripheral blood vs. bone marrow stem cells, and standard vs. experimental treatments. This new edition summarizes the research of the last four years and gives mature data for all established indications, such as acute myeloid leukemia, myelodysplastic syndrome and Hodgkin and non-Hodgkin lymphomas. New chapters discuss global trends in stem cell transplantation, cellular therapies including donor lymphocytes, and pediatric neurologic and metabolic disorders. With an expanded complications section, links to electronic databases and discussion of new drugs and alternative stem

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanc

Much of the statistical information currently produced by federal statistical agencies - information about economic, social, and physical well-being that is essential for the functioning of modern society - comes from sample surveys. In recent years, there has been a proliferation of data from other sources, including data collected by government agencies while administering programs, satellite and sensor data, private-sector data such as electronic health records and credit card transaction data, and massive amounts of data available on the internet. How can these data sources be used to enhance the information currently collected on surveys, and to provide new frontiers for producing information and statistics to benefit American society? Toward a 21st Century National Data Infrastructure: Enhancing Survey Programs by Using Multiple Data Sources, the second report in a series funded by the National Science Foundation, discusses how use of multiple data sources can improve the quality

DON'T LET SUMMER VACATION SLOW DOWN YOUR CHILD'S EDUCATION! Get your little learner ready for 2nd grade with this week-by-week summer workbook and the help of beloved characters like the Cat in The Hat, the Lorax, and Horton.Stop "summer slump" in its tracks with the help of Dr. Seuss! Learning loss during summer break can be a challenge, but with the Summer with Seuss Workbook series, you can keep your child smiling and learning from the end of the school year to the start of the next.Organized in weekly units, kids puzzle, play, and explore essential skills through engaging activities that reinforce the critical skills learned in 1st grade and build a preview of the upcoming 2nd grade year.130+ pages of fun-filled, curriculum-based learning activitiesEasy-to-follow weekly format with 10 weeks of plansReinforces Math, English/Language Arts, Science, and moreIncludes activities, puzzles, and creative projects that engage kids' interestReward stickers and a completion chart to cement ki

DON'T LET SUMMER VACATION SLOW DOWN YOUR CHILD'S EDUCATION! Get your little learner ready for 1st grade with this week-by-week summer workbook and the help of beloved characters like the Cat in The Hat, the Lorax, and Horton.Stop "summer slump" in its tracks with the help of Dr. Seuss! Learning loss during summer break can be a challenge, but with the Summer with Seuss Workbook series, you can keep your child smiling and learning from the end of the school year to the start of the next.Organized in weekly units, kids puzzle, play, and explore essential skills through engaging activities that reinforce the critical skills learned in kindergarten and build a preview of the upcoming 1st grade year.130+ pages of fun-filled, curriculum-based learning activitiesEasy-to-follow weekly format with 10 weeks of plansReinforces Math, English/Language Arts, Science, and moreIncludes activities, puzzles, and creative projects that engage kids' interestReward stickers and a completion chart to cement

DON'T LET SUMMER VACATION SLOW DOWN YOUR CHILD'S EDUCATION! Get your little learner ready for 3rd grade with this week-by-week summer workbook and the help of beloved characters like the Cat in The Hat, the Lorax, and Horton.Stop "summer slump" in its tracks with the help of Dr. Seuss! Learning loss during summer break can be a challenge, but with the Summer with Seuss Workbook series, you can keep your child smiling and learning from the end of the school year to the start of the next.Organized in weekly units, kids puzzle, play, and explore essential skills through engaging activities that reinforce the critical skills learned in 2nd grade and build a preview of the upcoming 3rd grade year.130+ pages of fun-filled, curriculum-based learning activitiesEasy-to-follow weekly format with 10 weeks of plansReinforces Math, English/Language Arts, Science, and moreIncludes activities, puzzles, and creative projects that engage kids' interestReward stickers and a completion chart to cement ki

Use the simplicity of dimensional analysis to make accurate drug calculations! Mulholland's The Nurse, The Math, The Meds, 5th Edition helps you overcome any math anxiety you may have by clearly explaining how to use the dimensional analysis method to minimize drug calculation errors. First, a review of basic math ensures that you remember essential math skills. The book then shows how to analyze and set up problems, estimate a reasonable answer, and evaluate the answer for accuracy. From nursing educator Susan J. Turner, this edition includes plenty of practice exercises as well as new Next Generation NCLEX(R) (NGN) case studies to prepare you for the NGN exam. UNIQUE! Useful FAQs and answers in each chapter are based on years of classroom questions compiled by the author. UNIQUE! Communication boxes show sample nurse-patient and nurse-prescriber dialogues that can help reduce medication errors. UNIQUE! Ask Yourself questions help you synthesize information and reinforce your comprehe

The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting.This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice.

The Stata edition of Imai’s groundbreaking textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science

The Stata edition of Imai’s groundbreaking textbook on data analysis and statistics for the social sciences and allied fieldsQuantitative analysis is an increasingly essential skill for social science

'This marvellous book will transform your relationship with the numbers that swirl all around us' TIM HARFORD, author of The Undercover EconomistStatistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data.Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. How many trees are there on the planet? Do busier hospitals have higher survival rates? Why

This textbook provides a clear, concise, and comprehensive introduction to methodological issues encountered by the various social science disciplines. It emphasizes applications, with detailed examples, so that readers can put these methods to work in their research. Within a unified framework, John Gerring and Dino Christenson integrate a variety of methods - descriptive and causal, observational and experimental, qualitative and quantitative. The text covers a wide range of topics including research design, data-gathering techniques, statistics, theoretical frameworks, and social science writing. It is designed both for those attempting to make sense of social science, as well as those aiming to conduct original research. The text is accompanied by online practice questions, exercises, examples, and additional resources, including related readings and websites. An essential resource for undergraduate and postgraduate programs in communications, criminal justice, economics, business,

This textbook provides a clear, concise, and comprehensive introduction to methodological issues encountered by the various social science disciplines. It emphasizes applications, with detailed examples, so that readers can put these methods to work in their research. Within a unified framework, John Gerring and Dino Christenson integrate a variety of methods - descriptive and causal, observational and experimental, qualitative and quantitative. The text covers a wide range of topics including research design, data-gathering techniques, statistics, theoretical frameworks, and social science writing. It is designed both for those attempting to make sense of social science, as well as those aiming to conduct original research. The text is accompanied by online practice questions, exercises, examples, and additional resources, including related readings and websites. An essential resource for undergraduate and postgraduate programs in communications, criminal justice, economics, business,

Data Mining has become an essential tool for any enterprise as vast amounts of data are gathered leading to what is now being popularly called "Big Data". Data is also termed as the new oil, and compa

Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly understood layer of architecture, design, and process

The Remote Sensing Data Book provides a unique resource of all aspects of remote sensing for the expert and non-expert alike. Organised as a dictionary, it contains over 700 alphabetically-arranged and cross-referenced entries on how remote sensing works, what kinds of data are available, and the large number of satellites and instruments from which the information is obtained. As well as short technical definitions, it also includes longer essays and reviews to give an overview of the subject. Although not a textbook in itself, the data book will serve as a valuable addition to existing textbooks for undergraduates and graduate students on geography, environmental and earth science courses that include an element of remote sensing. It will also be an essential reference for researchers and research managers at all levels using spaceborne remote sensing methods to obtain information about the earth's land, sea, ice and atmosphere.

Reproduction is essential to the continuation and evolution of life on this planet and is therefore a centrally important process in the conservation of wildlife. However, reproductive mechanisms are well understood in only a handful of vertebrate species, mostly domestic livestock and laboratory animals. This means that attempts to develop and implement management policies for wildlife conservation, and especially for endangered species that, by definition, are difficult to study, are often based on poor data or no data at all. In Reproductive Science and Integrated Conservation leading authorities provide glimpses of reproductive diversity in fishes, amphibia, reptiles, birds and mammals. Conservation plans are founded on the assumption that reproduction will be successful, but what if it fails? This book reviews the many factors that influence reproduction, including genetics, behaviour and nutrition, and experts assess the potential conservation relevance of the recent rapid advanc

Reproduction is essential to the continuation and evolution of life on this planet and is therefore a centrally important process in the conservation of wildlife. However, reproductive mechanisms are well understood in only a handful of vertebrate species, mostly domestic livestock and laboratory animals. This means that attempts to develop and implement management policies for wildlife conservation, and especially for endangered species that, by definition, are difficult to study, are often based on poor data or no data at all. In Reproductive Science and Integrated Conservation leading authorities provide glimpses of reproductive diversity in fishes, amphibia, reptiles, birds and mammals. Conservation plans are founded on the assumption that reproduction will be successful, but what if it fails? This book reviews the many factors that influence reproduction, including genetics, behaviour and nutrition, and experts assess the potential conservation relevance of the recent rapid advanc

The Remote Sensing Data Book provides a unique resource of all aspects of remote sensing for the expert and non-expert alike. Organised as a dictionary, it contains over 700 alphabetically-arranged and cross-referenced entries on how remote sensing works, what kinds of data are available, and the large number of satellites and instruments from which the information is obtained. As well as short technical definitions, it also includes longer essays and reviews to give an overview of the subject. Although not a textbook in itself, the data book will serve as a valuable addition to existing textbooks for undergraduates and graduate students on geography, environmental and earth science courses that include an element of remote sensing. It will also be an essential reference for researchers and research managers at all levels using spaceborne remote sensing methods to obtain information about the earth's land, sea, ice and atmosphere.

An offbeat guide to math from award-winning author and illustrator David Macaulay. David Macaulay's troupe of curious mammoths lead you through the basics of numbers, geometry, measurement, and much more in this unconventional and highly original guide to math. From computer games to bridges, shopping malls to game shows, math is all around you if you look closely enough. In Mammoth Math, not only will you learn the essential principles of math, you'll enjoy learning about them. From start to finish, let the mammoths be your guide as they seek to understand the math! These intrepid demonstrators will go to incredible lengths to educate and entertain, as they wrestle with adding or subtracting large numbers, measuring angles, reading 24-hour time, creating a pie chart, solving equations, and much more. Following on from Mammoth Science is best-selling illustrator David Macaulay, whose How Machines Work won the Royal Society Young People's Book Prize in 2016. Renowned for his ability to

Fay and Brittain present statistical hypothesis testing and compatible confidence intervals, focusing on application and proper interpretation. The emphasis is on equipping applied statisticians with enough tools - and advice on choosing among them - to find reasonable methods for almost any problem and enough theory to tackle new problems by modifying existing methods. After covering the basic mathematical theory and scientific principles, tests and confidence intervals are developed for specific types of data. Essential methods for applications are covered, such as general procedures for creating tests (e.g., likelihood ratio, bootstrap, permutation, testing from models), adjustments for multiple testing, clustering, stratification, causality, censoring, missing data, group sequential tests, and non-inferiority tests. New methods developed by the authors are included throughout, such as melded confidence intervals for comparing two samples and confidence intervals associated with Wil

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

In the last few years, Algorithms for Convex Optimization have revolutionized algorithm design, both for discrete and continuous optimization problems. For problems like maximum flow, maximum matching, and submodular function minimization, the fastest algorithms involve essential methods such as gradient descent, mirror descent, interior point methods, and ellipsoid methods. The goal of this self-contained book is to enable researchers and professionals in computer science, data science, and machine learning to gain an in-depth understanding of these algorithms. The text emphasizes how to derive key algorithms for convex optimization from first principles and how to establish precise running time bounds. This modern text explains the success of these algorithms in problems of discrete optimization, as well as how these methods have significantly pushed the state of the art of convex optimization itself.

This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more. Written by experienced educators and experts in big data, analytics, data quality, and data integration, it provides an up-to-date approach to database management. This full-color, illustrated text has a balanced theory-practice focus, covering essential topics, from established database technologies to recent trends, like Big Data, NoSQL, and more. Fundamental concepts are supported by real-world examples, query and code walkthroughs, and figures, making it perfect for introductory courses for advanced undergraduates and graduate students in information systems or computer science. These examples are further supported by an online playground with multiple learning environments, including MySQL, MongoDB, Neo4j Cypher, and tree structure visualization. This combined learning approach connects key concepts throughout th

Essential Mathematics for the Social Sciences is designed for first-year graduate students in quantitative social science programs who may not have taken a math course since high school, and lack conf

Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a s

Political science and sociology increasingly rely on mathematical modeling and sophisticated data analysis, and many graduate programs in these fields now require students to take a "math camp" or a s

Moini (allied health sciences, Everest U.) offers undergraduate and graduate pharmacy technician students and other health science students a guide to essential math skills. The text focuses on the fu