Get savvy with R language and actualize projects aimed at analysis, visualization and machine learning About This Book Proficiently analyze data and apply machine learning techniques Generate visualizations, develop interactive visualizations and applications to understand various data exploratory functions in R Construct a predictive model by using a variety of machine learning packages Who This Book Is For This Learning Path is ideal for those who have been exposed to R, but have not used it extensively yet. It covers the basics of using R and is written for new and intermediate R users interested in learning. This Learning Path also provides in-depth insights into professional techniques for analysis, visualization, and machine learning with R – it will help you increase your R expertise, regardless of your level of experience. What You Will Learn Get data into your R environment and prepare it for analysis Perform exploratory data analyses and generate meaningful visualizations of the data Generate various plots in R using the basic R plotting techniques Create presentations and learn the basics of creating apps in R for your audience Create and inspect the transaction dataset, performing association analysis with the Apriori algorithm Visualize associations in various graph formats and find frequent itemset using the ECLAT algorithm Build, tune, and evaluate predictive models with different machine learning packages Incorporate R and Hadoop to solve machine learning problems on big data In Detail The R language is a powerful, open source, functional programming language. At its core, R is a statistical programming language that provides impressive tools to analyze data and create high-level graphics. This Learning Path is chock-full of recipes. Literally! It aims to excite you with awesome projects focused on analysis, visualization, and machine learning. We'll start off with data analysis – this will show you ways to use R to generate professional analysis reports. We'll then move on to visualizing our data – this provides you with all the guidance needed to get comfortable with data visualization with R. Finally, we'll move into the world of machine learning – this introduces you to data classification, regression, clustering, association rule mining, and dimension reduction. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: R Data Analysis Cookbook by Viswa Viswanathan and Shanthi Viswanathan R Data Visualization Cookbook by Atmajitsinh Gohil Machine Learning with R Cookbook by Yu-Wei, Chiu (David Chiu) Style and approach This course creates a smooth learning path that will teach you how to analyze data and create stunning visualizations. The step-by-step instructions provided for each recipe in this comprehensive Learning Path will show you how to create machine learning projects with R.
Advanced and Business Tort Law is an ideal casebook with statutes and problems for an advanced and personal torts courses, a business and unfair competition torts courses, or survey of advanced tort law courses. Advanced and Business Tort Law is designed for advanced torts classes with a detailed treatment of dignitary and personal economic torts or business and unfair competition torts or a summary treatment of both. Unlike other casebooks, Advanced and Business Tort Law is ideal for any of the common combinations of the subject matter discussed in upper-level torts classes. The authors’ approach emphasizes the elements of each tort and the policies underlying the tort doctrines. Even more than in their Basic Tort Law casebook, appreciating the statutes relevant to each tort is critical because of significant doctrinal differences among jurisdictions. Key Features of this Edition: Ideal for either dignitary and personal economic torts classes, business and unfair competition classes, or a survey class covering all torts not included in introductory torts classes. Complements Basic Tort Law: Cases, Statutes, and Problems providing complete coverage of modern tort law. The casebook emphasizes principal cases decided in the 2020s covering a broad range of present-day issues, including invasion of the right of privacy, misappropriation of persona, misrepresentation, defamation, the economic loss rule, fraud, breach of fiduciary duty, interference with contractual relations, bad faith performance of contract, commercial disparagement, false and deceptive advertising, trademark infringement, trade secrets, copyright infringement, malicious prosecution, and SLAPPS. Advanced and Business Tort Law including contemporary cases, issues, and perspectives of cultural relevance. They include unauthorized use of the identities of television stars and celebrities, trends in the law of slander and libel, undisclosed use of paid social influencers, media harassment of public figures, Facebook’s banning of controversial posts and defamatory postings, and online reviews, legal claims for police misconduct and modern trends in police immunity, and marketing of performance-enhancing beverages. Professors and students will benefit from: Emphasis on the black letter law and policies underlying tort rules. Problems covering all torts presented in the book with answers provided in the Teachers Manual. Statutes introducing students to variations among states. Straightforward note materials emphasizing key points in each case. Perspective Notes discuss modern developments and policy conflicts.
This book differs from other organic chemistry textbooks in that it is not focused purely on the needs of students studying premed, but rather for all students studying organic chemistry. It directs the reader to question present assumptions rather than to accept what is told, so the second chapter is largely devoted to spectroscopy (rather than finding it much later on as with most current organic chemistry textbooks). Additionally, after an introduction to spectroscopy, thermodynamics and kinetics, the presentation of structural information of compounds and organic families advances from hydrocarbons to alcohols to aldehydes and ketones and, finally, to carboxylic acids.
This book invites readers on a journey. Those interviewed for this book have already built bridges of understanding and have crossed them into a far better future, one superior to the vision of extremism or Western materialism. We call on people who love their faith to join us. Have you ever encountered someone who sees religion as a matter of “you’re either with me or you’re against me”? Or maybe you’ve met someone, however well-meaning, intent on converting everyone they meet. Countering Religious Extremism: The Healing Power of Spiritual Friendships offers an approach to faith, unity, and relationship that recognizes the individual person and their situation, instead of seeing people of other faiths solely as enemies or potential converts. The model for creating spiritual friendships that will change the world comes from a group of Christian and Muslim men known as the “Shapiro gang,” who meet at a deli for lunch a couple of times per month. What holds the group together is the esteem and love that they have for one another. The question is this: if these ordinary men meeting at Shapiro’s for over 18 years can encourage one another in their adventure with God, what could similar groups across this country and around the world accomplish? Margaret Mead’s familiar adage certainly applies to each interfaith group featured in this book: “Never doubt that a small group of thoughtful, committed citizens can change the world.” Join the Shapiro gang and other interfaith groups on a journey of relationships built on faith and the desire to stand together in the face of division. These groups are building bridges of understanding and crossing them into a far better future, one superior to the popular visions of extremism or Western materialism. Together, they call on all people who love their faith to join them.
This book provides an introduction to the statistical software R and its application with an empirical approach in finance and economics. It is specifically targeted towards undergraduate and graduate students. It provides beginner-level introduction to R using RStudio and reproducible research examples. It will enable students to use R for data cleaning, data visualization and quantitative model building using statistical methods like linear regression, econometrics (GARCH etc), Copulas, etc. Moreover, the book demonstrates latest research methods with applications featuring linear regression, quantile regression, panel regression, econometrics, dependence modelling, etc. using a range of data sets and examples.
Through powerful stories and a guided exploration of 52 possible callings, "Whistle While You Work" helps readers discover how to make a living doing what they were born to do.
Transforming the Culture of Dying assesses the establishment of the Project on Death in America and evaluates its the contributions to the development of the palliative care field and end of life care in American society.
Marsden's Book of Movement Disorders covers the full breadth of movement disorders, from the underlying anatomy and understanding of basal ganglia function to the diagnosis and management of specific movement disorders, including the more common conditions such as Parkinson's Disease through to very rare conditions such as Niemann-Pick disease.
This textbook describes in detail the fundamental equations that govern the fate and transport of contaminants in the environment, and covers the application of these equations to engineering design and environmental impact analysis relating to contaminant discharges into rivers, lakes, wetlands, groundwater, and oceans. The third edition provides numerous end-of-chapter problems and an expanded solutions manual. Also introduced in this edition are PowerPoints slides for all chapters so that instructors have a ready-made course. Key distinguishing features of this book include: detailed coverage of the science behind water-quality regulations, state-of-the-art methods for calculating total maximum daily loads (TMDLs) for the remediation of impaired waters, modeling and control of nutrient levels in lakes and reservoirs, design of constructed treatment wetlands, design of groundwater remediation systems, design of ocean outfalls, control of oil spills in the ocean, and the design of systems to control the quality of surface runoff from watersheds into their receiving waters. In addition, the entire book is updated to provide the latest advances in the field of water-quality control. For example, concepts such as mixing zones are expanded to include physical nature and regulatory importance of mixing zones, practical aspects of outfall and diffuser design are also included, specific details of water-quality modeling are updated to reflect the latest developments on this topic, and new findings relating to priority and emerging pollutants are added.
With this comprehensive study, written in lay language, David Fellman provides an up-to-date analysis of the rights of the accused, certain to be welcomed by political scientists, students of public law, and all with an interest in due process of law. Since Fellman's 1958 book, The Defendant's Rights, substantial changes in the criminal justice system have occured. The past few decades before the publication of The Defendant's Rights Today have been witness to a striking expansion of the central concept of due process of law as it relates to criminal justice. The subject of defendants' rights is broad and complex. Fellman here explores its underlying concepts, bringing together a comprehensive discussion of the effects of the criminal justice system on the accused from arrest, through trial, to post-conviction remedies.
Outliers are the key focus of this book. The authors concentrate on the practical aspects of dealing with outliers in the forms of data that arise most often in applications: single and multiple samples, linear regression, and factorial experiments. Available only as an E-Book.
The Wolff-Kishner Reduction and Related Reactions: Discovery and Development offers a detailed discussion of this reaction, its discoverers, and its development since its discovery. Derivative name reactions—including the Wharton and Shapiro reactions—are also discussed. The book is illustrated with examples from literature and corresponding references to the primary literature to aid further reading. It provides a comprehensive review of the century of chemistry that allows the reader to follow the development of this important synthetic reaction. In addition, it provides biographical details on the chemists who discovered and developed the reaction, thus adding a human dimension to the discussion. - Introduces Wolff and Kishner, the discoverers of the reaction, along with Huang Ming-Long, the developer of an important modification of the reaction - Discusses the discovery of the reaction and the way that priority for the discovery was settled between Wolff and Kishner - Discusses, in depth, the development and usage of the reaction over the century, from its discovery, to its most recent applications and modifications in synthesis - Includes biographical materials on the chemists responsible for major derivative name reactions based on the Wolff-Kishner reduction
Statistics with JMP: Hypothesis Tests, ANOVA and Regression Peter Goos, University of Leuven and University of Antwerp, Belgium David Meintrup, University of Applied Sciences Ingolstadt, Germany A first course on basic statistical methodology using JMP This book provides a first course on parameter estimation (point estimates and confidence interval estimates), hypothesis testing, ANOVA and simple linear regression. The authors approach combines mathematical depth with numerous examples and demonstrations using the JMP software. Key features: Provides a comprehensive and rigorous presentation of introductory statistics that has been extensively classroom tested. Pays attention to the usual parametric hypothesis tests as well as to non-parametric tests (including the calculation of exact p-values). Discusses the power of various statistical tests, along with examples in JMP to enable in-sight into this difficult topic. Promotes the use of graphs and confidence intervals in addition to p-values. Course materials and tutorials for teaching are available on the book's companion website. Masters and advanced students in applied statistics, industrial engineering, business engineering, civil engineering and bio-science engineering will find this book beneficial. It also provides a useful resource for teachers of statistics particularly in the area of engineering.
Statistical tools are indispensable for the environmental sciences. They have become an integral part of the scientific process, from the development of the sampling plan to the obtainment of results. Statistics in Environmental Sciences provides the foundation for the interpretation of quantitative data (basic vocabulary, main laws of probabilities, etc.) and the thinking behind sampling and experimental methodology. It also introduces the principles of statistical tests such as decision theory and examines the key choices in statistical tests, while keeping the established objectives in mind. The book examines the most used statistics in the field of environmental sciences. Detailed descriptions based on concrete examples are given, as well as descriptions obtained through the use of the free software R (whose usage is also presented).
In twenty-four chapters David Kaplan offers ideas, opinions, theories, and facts for someone who wants to be a theater artist today in hopes of creating their own vision of theater-making, one informed by, and in the context of, theater history. This book explores what theater artists have done before and what they, inspired by history, might do next. A non-lineal theater history, Shakespeare Shamans, and Show Biz explores theater as a shaman’s vision, as a storyteller’s heritage, as religious propaganda, as a mirror of life, as a critique of society, as a prompt for hard laughter, as fantasy, and as national epic, with plays as different (and the same) as the writings of August Wilson, Gertrude Stein, Shakespeare, and people who never made it into history. Each chapter explores a particular theme: “The Middle Ages as a State of Mind,” “Commedia dell’arte and Molière,” “Shakespeare—To Begin,” “Euripides—Forever Modern,” “Aeschylus—Writing in an Age of Certainty,” “Sophocles and Aristotle—Defining Tragedy,” “Greek Comedy,” “Roman Theater,” “Asian Classics and Rules” (Bunrakuken, Chikamatsu, Zeami), China—The Pear Garden and the Red Pear Garden,” “Neoclassic Theater and Why There is Such a Thing,” “Shakespeare’s Classic,” “Bad Boys Breaking the Rules” (Brecht, Ibsen, and Jarry), “Inside Outside” (Ibsen, Strindberg, Turgenev, Stanislavsky, Chekhov, Antoine), “Beyond Illusion” (Appia, Craig, Poel), “Melodrama and Popular Theater in America” (Aiken, Brice, Cohan, Stone, Tyler, Bert Williams), “American Classic: Eugene O’Neill and Martha Graham,” “Expressionism to Epic” (Brecht, Meyerhold, O’Neill, Piscator, Treadwell), “American Agitprop: Overt and Disguised” (Adler, Clurman, Flanagan, Kazan, Le Gallienne, Miller, Odets, Robeson, Strasberg, Wilder), “Poetry of the Theater” (Artaud, Breton, Cocteau, Ionesco, Kharms, Stein), “Personal Mythology” (Genet, Lorca, Mishima, Strindberg), “Two Masters: Samuel Becket and Tennessee Williams,” “Theater of Identity” (Baraka, Ensler, Kramer, Wilson), and “Missing from History” (Bonner, Fornés, Kennedy, Maeterlinck).
The 2019 edition of The Best American Poetry—“one of the mainstays of the poetry publication world” (Academy of American Poets)—now guest edited by Major Jackson, award-winning poet and poetry editor of the Harvard Review. Since 1988, The Best American Poetry has been the leading anthology of contemporary American poetry. The Washington Post said of the 2017 edition, “The poems...have a wonderful cohesion and flow, as if each contributes to a larger narrative about life today…While readers may question some of the selections—an annual sport with this series—most will find much that resonates, including the insightful author notes at the back of the anthology.” The state of the world has inspired many to write poetry, and to read it—to share all the rage, beauty, and every other thing under the sun in the way that only poetry can. Now the foremost anthology of contemporary American poetry returns, guest edited by Major Jackson, the poet and editor who, “makes poems that rumble and rock” (poet Dorianne Laux). This brilliant 2019 edition includes some of the year’s most defining, striking, and innovative poems and poets.
Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility and risks. Key features of this textbook are: illustration of concepts with financial markets and economic data, R Labs with real-data exercises, and integration of graphical and analytic methods for modeling and diagnosing modeling errors. Despite some overlap with the author's undergraduate textbook Statistics and Finance: An Introduction, this book differs from that earlier volume in several important aspects: it is graduate-level; computations and graphics are done in R; and many advanced topics are covered, for example, multivariate distributions, copulas, Bayesian computations, VaR and expected shortfall, and cointegration. The prerequisites are basic statistics and probability, matrices and linear algebra, and calculus. Some exposure to finance is helpful.
Renowned poets and experts in metrics respond to Robert Wallace's pivotal essay which clarifies and simplifies methods of studying poetry. Former United States Poet Laureate Robert Hass has called Wallace's essay a paradigm shift in our understanding of English prosody.
Kontaminationen so früh wie möglich erkennen und damit so früh wie möglich beseitigen: Statistische Methoden, die diesem Ziel dienen, werden hier vorgestellt. Die besprochenen Strategien zum Nachweis und zur Quantifizierung von Schadstoffen lassen sich auf alle Umweltkompartimente anwenden. Praktische Details werden anhand von Fallstudien anschaulich erläutert.
Grow old on purpose. This book invites readers to navigate a purposeful path from adulthood to elderhood with choice, curiosity, and courage. Everyone is getting old; not everyone is growing old. But the path of purposeful aging is accessible to all—and it's fundamental to health, happiness, and longevity. With a focus on growing whole through developing a sense of purpose in later life, Who Do You Want to Be When You Grow Old? celebrates the experience of aging with inspiring stories, real-world practices, and provocative questions. Framed by a long conversation between two old friends, the book reconceives aging as a liberating experience that enables us to become more authentically the person we always meant to be with each passing year. In their bestseller Repacking Your Bags, Richard J. Leider and David A. Shapiro defined the good life as “living in the place you belong, with people you love, doing the right work, on purpose.” This book builds on that definition to offer a purposeful path for living well while aging well.
Mathematical Methods for Physical and Analytical Chemistry presents mathematical and statistical methods to students of chemistry at the intermediate, post-calculus level. The content includes a review of general calculus; a review of numerical techniques often omitted from calculus courses, such as cubic splines and Newton’s method; a detailed treatment of statistical methods for experimental data analysis; complex numbers; extrapolation; linear algebra; and differential equations. With numerous example problems and helpful anecdotes, this text gives chemistry students the mathematical knowledge they need to understand the analytical and physical chemistry professional literature.
This book examines such topics as: the risks officers and directors face, derivative and class actions, and when a corporation is required--or allowed-- to provide indemnification.
Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code About This Book Apply R to simplify predictive modeling with short and simple code Use machine learning to solve problems ranging from small to big data Build a training and testing dataset, applying different classification methods. Who This Book Is For This book is for data science professionals, data analysts, or people who have used R for data analysis and machine learning who now wish to become the go-to person for machine learning with R. Those who wish to improve the efficiency of their machine learning models and need to work with different kinds of data set will find this book very insightful. What You Will Learn Create and inspect transaction datasets and perform association analysis with the Apriori algorithm Visualize patterns and associations using a range of graphs and find frequent item-sets using the Eclat algorithm Compare differences between each regression method to discover how they solve problems Detect and impute missing values in air quality data Predict possible churn users with the classification approach Plot the autocorrelation function with time series analysis Use the Cox proportional hazards model for survival analysis Implement the clustering method to segment customer data Compress images with the dimension reduction method Incorporate R and Hadoop to solve machine learning problems on big data In Detail Big data has become a popular buzzword across many industries. An increasing number of people have been exposed to the term and are looking at how to leverage big data in their own businesses, to improve sales and profitability. However, collecting, aggregating, and visualizing data is just one part of the equation. Being able to extract useful information from data is another task, and a much more challenging one. Machine Learning with R Cookbook, Second Edition uses a practical approach to teach you how to perform machine learning with R. Each chapter is divided into several simple recipes. Through the step-by-step instructions provided in each recipe, you will be able to construct a predictive model by using a variety of machine learning packages. In this book, you will first learn to set up the R environment and use simple R commands to explore data. The next topic covers how to perform statistical analysis with machine learning analysis and assess created models, covered in detail later on in the book. You'll also learn how to integrate R and Hadoop to create a big data analysis platform. The detailed illustrations provide all the information required to start applying machine learning to individual projects. With Machine Learning with R Cookbook, machine learning has never been easier. Style and approach This is an easy-to-follow guide packed with hands-on examples of machine learning tasks. Each topic includes step-by-step instructions on tackling difficulties faced when applying R to machine learning.
The lawyer's trade--from its noblest moments to its greatest blunders--is examined with rigor, insight, and wit by one of America's foremost commentators on the law, New York Times columnist David Margolick.
This is a study of the war poetry of nine American men who served in World War II. The efforts of those who had established themselves as poets prior to or during the war (Karl Shapiro, Randall Jarrell, John Ciardi, and William Meredith) are compared with those whose poetic careers began after the war (Louis Simpson, James Dickey, Richard Hugo, Howard Nemerov, and Lincoln Kirstein). The military careers of these soldiers illuminate how their experiences affected the content as well as style of their poems. Each man's poetry directly related to his involvement with the combat environment: the closer the combat experience, the more personal the poetry; the more distant the experience, the more detached the poetry.
PALEONTOLOGICAL DATA ANALYSIS An up-to-date edition of the indispensable guide to analysing paleontological data Paleontology has developed in recent decades into an increasingly data-driven discipline, which brings to bear a huge variety of statistical tools. Applying statistical methods to paleontological data requires a discipline-specific understanding of which methods and parameters are the most appropriate ones, and how to account for statistical bias inherent in the fossil record. By guiding the reader to these and other fundamental questions in the statistical analysis of fossilized specimens, Paleontological Data Analysis has become the standard text for anyone with an interest in quantitative analysis of the fossil record. Now fully updated to reflect the latest statistical methods and disciplinary advances, it is an essential tool for practitioners and students alike. Readers of the second edition of Paleontological Data Analysis readers will also find: New sections on machine learning, Bayesian inference, phylogenetic comparative methods, analysis of CT data, and much more New use cases and examples using PAST, R, and Python software packages Full color illustrations throughout Paleontological Data Analysis is ideal for paleontologists, evolutionary biologists, taxonomists, and students in any of these fields.
Addition, Elimination and Substitution: Markovnikov, Hofmann, Zaitsev and Walden: Discovery and Development discusses foundational reactions in organic chemistry and their major protagonists, contributions to synthesis, and history. Hofmann, Zaitsev, and Markovnikov are introduced, along with their major discoveries and contributions to organic chemistry. The history of controversies around Markovnikov's Rule are addressed. The book introduces Walden's original demonstration of configuration inversion, then discusses bimolecular elimination reactions, regioselective addition reactions, regiospecific alkene synthesis, and the development of modern reactions with configuration inversion. With its unique perspective, focus, and comprehensive coverage, this book belongs on the shelf of every organic chemist. - Introduces Markovnikov, Zaitsev, Hofmann, and Walden as actual persons, rather than just an abstract term used as a form of short-hand to describe the rules - Discusses, in depth, the discovery and usage of these reactions and rules, from their discovery to their most recent applications - Includes biographical materials about chemists responsible for major changes in application of the rules - Traces the history of the applications of these reactions, e.g., anti-Markovnikov additions in catalytic organic synthesis, and reactions such as the Mitsunobu reaction improving the original SN2 displacement
In this second edition of their classic book on personal brand, David McNally and Karl Speak show that developing a personal brand is not about constructing a contrived image. Rather, it is a process of discovering who you really are and what you aspire to be. The hallmark insight of this new edition is that the best way to establish a strong and memorable brand is to make a positive difference in the lives of others through making lasting impressions that build trusting relationships. McNally and Speak take you through the process of identifying the key components of your brand, conveying that brand to the world, checking how closely your brand aligns with important relationships in your life—particularly the one with your employer—and assessing your progress along the way. This thoroughly revised and updated edition features new material on how to use social media to build a powerful personal brand and case studies of individuals whose personal brands have changed the world.
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