Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R

This second edition details new and updated protocols for experimental approaches that are currently used to study the formation of flowers. Chapters guide readers on genetic methods, phenotypic analyses, genome-wide experiments, modeling, and system-wide approaches. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Flower Development: Methods and Protocols, Second Edition aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge.

The U.S. Environmental Protection Agency's (EPA) Integrated Risk Information System (IRIS) program develops human health assessments that focus on hazard identification and dose-response analyses for chemicals in the environment. The ORD Staff Handbook for Developing IRIS Assessments (the handbook) provides guidance to scientists who perform the IRIS assessments in order to foster consistency in the assessments and enhance transparency about the IRIS assessment process. At the request of the EPA, this report reviews the procedures and considerations for operationalizing the principles of systematic reviews and the methods described in the handbook for determining the scope of the IRIS assessments, evidence integration, extrapolation techniques, dose-response analyses, and characterization of uncertainties.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

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

The Oxford Handbook of Early Childhood Learning and Development in Music brings together leading researchers in infant and early childhood cognition, music education, music therapy, neuroscience, cult

Designed for advanced undergraduate or non-major graduate students in Advanced Statistical Modeling or Regression II as well as courses on Generalized Linear Models, Longitudinal Data Analysis, Correl

This book examines the first cycle of urbanization, collapse and reurbanization in the 4th-2nd millennium BCE Levant. The core of the study is a detailed analysis of settlement fluctuations and material culture development in the Hula Valley, at the crossroads between modern Israel, Syria and Lebanon. Focusing on field data and a close reading of the material text, the book emphasizes the variety exhibited in patterns of cultural and social change when small, densely settled regions are carefully scrutinized. Using the concepts of time-space edges and shifting loci of power, the study suggests new scenarios to explain changes in the regional archaeological record, and considers the implications these have for existing reconstructions of social evolution in the larger region. The Levant is shown to be composed of a fluid mosaic of polities that moved along multiple, if often parallel, paths towards and away from complexity. This book is for anyone studying the archaeology of early sta

The early to mid-1990s saw a large surge in U.S. cigar consumption, including premium cigars. Based on recent import data, premium cigar use may be increasing, though they currently make up a small percent of the total U.S. cigar market. Premium cigars have also been the subject of legal and regulatory efforts for the past decade. In 1998, the National Cancer Institute undertook a comprehensive review of available knowledge about cigars - the only one to date. The resulting research recommendations have largely not been addressed, and many of the identified information gaps persist. Furthermore, there is no single, consistent definition of premium cigars, making research challenging. In response, the Food and Drug Administration (FDA) and the National Institutes of Health commissioned the National Academies of Sciences, Engineering, and Medicine to convene a committee of experts to address this issue. The resulting report, Premium Cigars: Patterns of Use, Marketing, and Health Effects,

Chunyan Li is a course instructor with many years of experience in teaching about time series analysis. His book is essential for students and researchers in oceanography and other subjects in the Earth sciences, looking for a complete coverage of the theory and practice of time series data analysis using MATLAB. This textbook covers the topic's core theory in depth, and provides numerous instructional examples, many drawn directly from the author's own teaching experience, using data files, examples, and exercises. The book explores many concepts, including time; distance on Earth; wind, current, and wave data formats; finding a subset of ship-based data along planned or random transects; error propagation; Taylor series expansion for error estimates; the least squares method; base functions and linear independence of base functions; tidal harmonic analysis; Fourier series and the generalized Fourier transform; filtering techniques: sampling theorems: finite sampling effects; wavelet

An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. Cognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills. After a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and

This new volume addresses the growing interest in and use of big data analytics in many industries and in many research fields around the globe; it is a comprehensive resource on the core concepts of big data analytics and the tools, techniques, and methodologies. The book gives the why and the how of big data analytics in an organized and straightforward manner, using both theoretical and practical approaches.The book's authors have organized the contents in a systematic manner, starting with an introduction and overview of big data analytics and then delving into pre-processing methods, feature selection methods and algorithms, big data streams, and big data classification. Such terms and methods as swarm intelligence, data mining, the bat algorithm and genetic algorithms, big data streams, and many more are discussed. The authors explain how deep learning and machine learning along with other methods and tools are applied in big data analytics. The last section of the book presents

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

Rap and Politics maps out fifty years of political and musical development by exploring three specific moments of local discourse, each a response to failures by local, state, and national governments to address police brutality, violence, poverty, and poor social conditions in Oakland, California and the surrounding Bay Area. First, in the mid-1960s, Black youth responded to repressive political and socioeconomic factors in West Oakland by founding the Black Panther Party for Self Defense, whose representation of violence and community aid, as well as its radical and militant approach to Black Nationalism, became a foundational discourse that shaped the development of rap music in the region. Second, from the collapse of the Party in the early 1980s through the 1990s, gangster rap emerged as a form of political expression among local youth, who drew heavily on radical and militant elements of Panther discourse in their lyrics and artwork. Third, hyphy music in the mid-1990s to early 2

The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you're new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful dat

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

Why did weeds matter in the Carolingian empire? What was their special significance for writers in eighth- and ninth-century Europe and how was this connected with the growth of real weeds? In early medieval Europe, unwanted plants that persistently appeared among crops created extra work, reduced productivity, and challenged theologians who believed God had made all vegetation good. For the first time, in this book weeds emerge as protagonists in early medieval European history, driving human farming strategies and coloring people's imagination. Early medieval Europeans' effort to create agroecosystems that satisfied their needs and cosmologies that confirmed Christian accounts of vegetable creation both had to come to terms with unruly plants. Using diverse kinds of texts, fresh archaeobotanical data, and even mosaics, this interdisciplinary study reveals how early medieval Europeans interacted with their environments.

What exactly are germs? And what do they do? The acclaimed and award-winning author and artist of A Hundred Billion Trillion Stars have created a timely—and funny!—introduction to germs and the human body’s natural response to the (sometimes) microscopic organisms. An informative and accessible choice for fans of Andrea Beatty’s Ada Twist, Scientist and Kimberly Derting and Shelli R. Johannes’s Loves Science series.Did you know that there are quadrillions of germs in the world? And that hundreds of billions of germs may be in the room around you—and inside you as well?Acclaimed creators Seth Fishman and Isabel Greenberg explore the five main types of germs—bacteria, viruses, protozoa, fungi, and helminths—and the human immune system that protects us from them. Seth Fishman expertly breaks down this complex topic with humor—and with a large dose of wonder at the human body and the world around us. Isabel Greenberg’s signature bright, comic-style illustrations bring life to this microsco

As the world becomes increasingly connected, it is also more exposed to a myriad of cyber threats. We need to use multiple types of tools and techniques to learn and understand the evolving threat landscape. Data is a common thread linking various types of devices and end users. Analyzing data across different segments of cybersecurity domains, particularly data generated during cyber-attacks, can help us understand threats better, prevent future cyber-attacks, and provide insights into the evolving cyber threat landscape. This book takes a data oriented approach to studying cyber threats, showing in depth how traditional methods such as anomaly detection can be extended using data analytics and also applies data analytics to non-traditional views of cybersecurity, such as multi domain analysis, time series and spatial data analysis, and human-centered cybersecurity.

Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of panel data analysis, this new edition's primary contribution will be the coverage of advancements in panel data analysis, a statistical method widely used to analyze two or higher-dimensional panel data. The topics discussed in early editions have been reorganized and streamlined to comprehensively introduce panel econometric methodologies useful for identifying causal relationships among variables, supported by interdisciplinary examples and case studies. This book, to be featured in Cambridge's Econometric Society Monographs series, has been the leader in the field since the first edition. It is essential reading for researchers, practitioners and graduate students interested in the analysis of microeconomic behavior.

Developing Skills for the classroom and beyond: Fundamentals of Cost Accounting lets the student see the development of cost accounting tools and techniques as a natural response to decision making. Using a procedural approach, the material in the text is presented from the perspective of both the preparer of information and the user of the information. This allows both accounting majors and those students planning other careers to appreciate the issues from both sides.

Excel Power Pivot & Power Query For Dummies, 2nd Edtion will give data professionals a foundation in the using Excel to transform their data. Use Power Query to get your data into Excel, and then enrich that data using Power Pivot. Integrate your data from multiple platforms, improve business intelligence, and analyze at a higher level when you follow the step-by-step guides in this book. Excel enables professionals to save time and increase efficiency. Trust Dummies to help you reach your full data potential!

Why did Egyptian cults, especially those dedicated to the goddess Isis and god Sarapis, spread so successfully across the ancient Mediterranean after the death of Alexander the Great? How are we limited by the established methodological apparatus of historiography and which innovative methods from other disciplines can overcome these limits? In this book, Tomáš Glomb shows that while the interplay of different factors such as the economy, climate, and politics created favorable conditions for the early spread of the Isiac cults, the use of innovative quantitative methods can shed new light and help disentangle the complex interplay of individual factors. Using a combination of geospatial modeling, mathematical modeling, and network analysis, Glomb determines that, at least in the regions of the Hellenistic Aegean and western Asia Minor, the political channels created by the Ptolemaic dynasty were a dominant force in the local spread of the Isiac cults. An important contribution to th

A short, serious history of the co-development of sex and sexuality and the internet, and how the issues at their convergence increasingly define our lives: free speech, privacy, online banking, dating and social media, streaming technology, cultural and sexual appropriation, and mass data collection. From the moment there was an “online,” there was sex online. The famous test image used by software engineers to develop formats like the jpeg was “Lenna,” taken from Playboy’s November 1972 centerfold. Early bulletin boards and multi-user domains quickly came to serve their members sexual musings. Facebook started as a way to rate “hot or not” Harvard co-eds. In fact, virtually every significant development that defines the Internet we know and love (and hate) today―privacy issues, online payments and online banking, dating, social media, streaming technology, mass data collection―came out the meeting of sexuality and technology. And the kicker is, not only did sexuality vastly

Understand the theory and implementation of simulation. This book covers simulation topics from a scenario-driven approach using Python and rich visualizations and tabulations. The book discusses simulation used in the natural and social sciences and with simulations taken from the top algorithms used in the industry today. The authors use an engaging approach that mixes mathematics and programming experiments with beginning-intermediate level Python code to create an immersive learning experience that is cohesive and integrated. After reading this book, you will have an understanding of simulation used in natural sciences, engineering, and social sciences using Python. What You Will LearnUse Python and numerical computation to demonstrate the power of simulationChoose a paradigm to run a simulationDraw statistical insights from numerical experimentsKnow how simulation is used to solve real-world problems Who This Book Is ForEntry-level to mid-level Python developers from various backg

A book of 50 hands-on experiments to explore the wonders of science with the whole family, from the host and co-executive producer of Netflix's Emily's Wonder Lab and executive producer of Xploration Outer Space. Emily Calandrelli, MIT engineer and scientist, shares exhilarating experiments for junior scientists and their lab assistants, ranging from homemade ice cream to disappearing ink. The book features 50 experiments using easy-to-find grocery store purchases and everyday household items. Each experiment includes: A scientific explanationA Hypothesize section to record the scientist's assumptionsScience vocabulary that applies STEM research to real life (did you know that ketchup is a non-Newtonian fluid?)Try This! prompts with even more ways to experiment with your experiment.Let the science spark curiosity and critical thinking; grab your goggles and your trusted assistant and get started! FOR READERS OF: Geek Dad, Awesome Science Experiments for Kids, The Dangerous Book for Boy

Materials and Sustainable Development, Second Edition, written by noted materials selection authority Mike Ashby, provides a structure and framework for analyzing sustainable development and the role of materials in it. The aim is to introduce ways of exploring sustainable development to readers in a way that avoids simplistic interpretations and approaches complexity in a systematic way. There is no completely right answer to questions of sustainable development - instead, there is a thoughtful, well-researched response that recognizes concerns of stakeholders, the conflicting priorities and the economic, legal and social aspects of a technology as well as its environmental legacy. The intent is not to offer solutions to sustainability challenges but rather to improve the quality of discussion and enable informed, balanced debate. The second edition has been updated to reflect new insights, regulatory trends, and other developments that have occurred since publication of the first edi

Why do people run for office with opposition parties in electoral authoritarian regimes, where the risks of running are high, and the chances of victory are bleak? In Activist Origins of Political Ambition, Keith Weghorst offers a theory that candidacy decisions are set in motion in early life events and that civic activism experiences and careers in civil society organizations funnel aspirants towards opposition candidacy in electoral authoritarian regimes. The book also adapts existing explanations of candidacy decisions derived from leading democracies that can be applied to electoral authoritarian contexts. The mixed-methods research design features an in-depth study of Tanzania using original survey data, sequence methods, archival research, and qualitative data combined with an analysis of legislators across authoritarian and democratic regimes in Africa. A first-of-its kind study, the book's account of the origins of candidacy motivations offers contributions to its study in aut

This volume describes the various movements and thinkers who wanted social change without state intervention. It covers cases in Europe, the Americas, Africa and Asia. The first part discusses early egalitarian experiments and ideologies in Asia, Europe and the Islamic world, and then moves to early socialist thinkers in Britain, France, and Germany. The second part deals with the rise of the two main currents in socialist movements after 1848: anarchism in its multiple varieties, and Marxism. It also pays attention to organisational forms, including the International Working Men's Association (later called the First International); and it then follows the further development of anarchism and its 'proletarian' sibling, revolutionary syndicalism – its rise and decline from the 1870s until the 1940s on different continents. The volume concludes with critical essays on anarchist transnationalism and the recent revival of anarchism and syndicalism in several parts of the world.

This book provides a series of gesture and behavior recognition methods based on multimodal datarepresentation. The data modalities include image data and skeleton data, and the modeling methods includetraditional codebook, topological graph, and LSTM architectures. The tasks include single gesture recognitionclassification, single action recognition classification, continuous gesture classification, complex behaviorclassification of human interaction and other tasks of different complexity. This book focuses on the dataprocessing methods of each modality, and the modeling methods for different tasks. We hope the reader canlearn basic gesture and action recognition methods from this book, and develop a model system that suits theirneeds on this basis. This book can be used as a textbook for graduate, postgraduate and PhD students majoring in computerscience, automation, etc. It can also be used as a reference for the reader who is interested in gesturerecognition, human action inter

The majority of children acquire language effortlessly but approximately 10% of all children find it difficult especially in the early or preschool years with consequences for many aspects of their subsequent development and experience: literacy, social skills, educational qualifications, mental health and employment. With contributions from an international team of researchers, this book is the first to draw together a series of new analyses of data related to children's language development, primarily from large-scale nationally representative population studies, and to bring a public health perspective to the field. The book begins with a section on factors influencing the patterns of language development. A second section explores continuity and change in language development over time. The third explores the impact on individuals with developmental language disorders (DLD), the effectiveness of available interventions, and broader issues about the need for equity in the delivery o

Straightforward, clear, and applied, this book will give you the theoretical and practical basis you need to apply data analysis techniques to real data. Combining key statistical concepts with detailed technical advice, it addresses common themes and problems presented by real research, and shows you how to adjust your techniques and apply your statistical knowledge to a range of datasets. It also embeds code and software output throughout and is supported by online resources to enable practice and safe experimentation. The book includes: · Original case studies and data sets · Practical exercises and lists of commands for each chapter · Downloadable Stata programmes created to work alongside chapters · A wide range of detailed applications using Stata · Step-by-step guidance on writing the relevant code. This is the perfect text for anyone doing statistical research in the social sciences getting started using Stata for data analysis.

Does religion influence political participation? This book takes up this pressing debate using Christianity in sub-Saharan Africa as its empirical base to demonstrate that religious teachings communicated in sermons can influence both the degree and the form of citizens' political participation. McClendon and Riedl document some of the current diversity of sermon content in contemporary Christian houses of worship and then use a combination of laboratory experiments, observational survey data, focus groups, and case comparisons in Zambia, Uganda, and Kenya to interrogate the impact of sermon exposure on political participation and the longevity of that impact. Pews to Politics in Africa leverages the pluralism of sermons in sub-Saharan Africa to gain insight into the content of cultural influences and their consequences for how ordinary citizens participate in politics.

Organizing Against Democracy investigates some of the most important challenges modern democracies face, filling a distinctive gap in the literature, both empirically and theoretically. Ellinas examines the attempts of three of the most extreme European far-right parties to establish roots in local societies, and the responses of democratic actors. He offers a theory of local party development to analyze the many factors affecting the evolution of far-right parties at the subnational level. Using extraordinarily rich data, the author examines the 'lives' of local far-right party organizations in Greece, Germany and Slovakia, studying thousands of party activities and interviewing dozens of party leaders and functionaries, and antifascists. He goes on to explore how and why extreme parties succeed in some local settings while, in others, they fail. This book broadens our understanding of right-wing extremism, illuminating the factors limiting its corrosiveness.

A practice-based guide to applying the principles of human-centered design to real-world health challenges; updated and expanded with post–COVID-19 innovations. This book offers a practice-based guide to applying the principles of human-centered design to real-world health challenges that range from drug packaging to breast cancer detection. Written by pioneers in the field―Bon Ku, a physician leader in innovative health design, and Ellen Lupton, an award-winning graphic designer―the book outlines the fundamentals of design thinking and highlights important products, prototypes, and research in health design. This revised and expanded edition describes innovations developed in response to the COVID-19 crisis, including an intensive care unit in a shipping container, a rolling cart with intubation equipment, and a mask brace that gives a surgical mask a tighter seal. The book explores the special overlap of health care and the creative process, describing the development of such prod

The DATA Set 十冊合輯，收錄這群熱愛科學、腦筋靈活的小學生最瘋狂的冒險！Newtonburg 小學的 Gabe、Laura、Cesar 與 Olive，自稱「DATA Set」，當他們發現鄰居 Dr. Bunsen 是位瘋狂科學家後，意外捲入一連串實驗失控事件。從被喚醒的動物玩具、穿越到史前時代、外星人造訪，到複製人、巨型昆蟲與機器人暴走，這些麻煩接連不斷。幸運的是，孩子們憑著機智與團隊合作，總能化險為夷。故事輕快幽默、節奏明快，搭配大量插圖，適合喜歡冒險與科學題材的年輕讀者。Dive into the wacky adventures of a scientifically minded group of friends in the first ten books of The DATA Set chapter book series, now available in one paperback boxed set! Danger! Action! Trouble! Adventure! All that and more await Newtonburg Elementary's whiz kids Gabe, Laura, Cesar, and Olive when they discover their reclusive next-door neighbor, Dr. Bunsen, is a mad scientist. Lucky for him, the DATA Set are quick thinkers and willing to help out when his inventions and experiments go awry. Together, they deal with animal toys brought to life, find themselves stuck in the prehistoric era, have an extraterrestrial encounter, and so much more in this ten book collection! This zany paperback boxed set includes: March of the Mini BeastsDon

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

Rethinking Drug Laws develops new theoretical and conceptual tools for understanding how drug control functions. It presents original archival research on the origins of drug prohibition, and explain

An empirical study and analysis of heart disease prediction involves using data analysis techniques to identify patterns and risk factors associated with cardiovascular disease. This approach utilizes machine learning algorithms to classify patients based on their likelihood of developing heart disease.The study involves collecting data on risk factors such as age, gender, family history, blood pressure, cholesterol levels, smoking, and diabetes. Feature selection techniques are used to identify the most important risk factors, and a classification model is trained using these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC.This empirical study and analysis has several advantages, including the ability to identify new risk factors associated with heart disease, improved accuracy in predicting cardiovascular risk, and the potential to develop more personalized prevention and treatment strategies. This approach has the potential to

王者回來了！ R語言與Big Data的最強結合 重磅新增 2015年這本書的第一版上市，隨即獲得許多好評，也獲得許多大專院校選為上課教材，這本書是第2版，相較第一版基本上增訂下列資訊： 將R的軟體改為最新版測試，可以參考附錄A。 附贈全書實例檔案。 讀者附贈是非、選擇、複選題的題目與解答，這些題目是美國Silicon Stone Education的國際證照考古題，另外加贈偶數實作題解答。 教學資源說明 本書所有習題實作題均有習題解答，如果您是學校老師同時使用本書教學，歡迎與本公司聯繫，本公司將提供習題解答。 另外，本書也有教學簡報檔案供教師教學使用。 讀者資源說明 請至本公司網頁deepmind.com.tw下載本書程式實例，此外，讀者也可從所下載的資源獲得實作題偶數題的解答。 本書特色 1：完全零基礎可以輕鬆學習。 2：學習最新版R語言。 3：從無到有一步一步教導讀者R語言的使用。 4：學習本書不需要有統計基礎，但在無形中本書已灌溉了統計知識給你。 5：精彩的圖表製作，讀者可以學會資料視覺化使用R。 6：完整講解所有R語言語法與使用技巧。 7：豐富的程式實例與解說，讓你事半功倍。 8：全書涵蓋是非、選擇、複選習題解答。 9：讀者贈送全部偶數題實作題解答。