Kirjahaku
Etsi kirjoja tekijän nimen, kirjan nimen tai ISBN:n perusteella.
1000 tulosta hakusanalla R Shanthi
Floral Journal With Her Initial Monogram On ItIsn't that adorable?For those who like having personalized items in their life. Hint: this notebook makes a lovely gift...Features: Wide ruled. 110 pages. 8.5 x 11 inches. Soft cover.
From the author of THE COMPOUND, this gripping dystopian novel explores the delicate lines between truth and propaganda. As the president focuses all efforts on securing his position of power, employing tactics that blur the lines between lawful governance and autocracy, a variety of individuals must confront their own beliefs, biases, and fears. R is a riveting exploration of the American psyche, examining the themes of racism, white supremacy, and the steadfast quest for power.Each character, rooted in their own beliefs and experiences, provides a unique lens examining the fabric of America. As misinformation and conspiracy theories flood the internet colliding with legitimate news sources, the characters' paths intersect in unexpected ways, challenging their convictions. R isn't just a story; it's a wake-up call to the resilience of the human spirit, with a mirror reflecting our highest hopes and deepest fears.As the clock counts down to the election, the question remains: can democracy survive the storm, or will it crumble under the weight of its ideals betrayed?screentopia skreen-toh-pee-ah ]noun1. an imaginary state of being created on a visual device such as a computer, tablet, or phone which promotes idealism in law, politics, life, etc.2. an ideal place or state of mind found online.
????? ? ?????? ? ?????????????? R
???? ?????? ??????; ?????????? ?? ??????; ?????? ????? ??????
Sciencia Scripts
2023
pokkari
Наука о данных с использованием R - это комплексная область, объединяющая статистический анализ, машинное обучение и программирование для извлечения информации из данных. R является популярным языком программирования среди специалистов по работе с данными благодаря наличию обширных библиотек и инструментов, специально разработанных для манипулирования данными и их визуализации. В области Data Science с использованием R специалисты используют статистические возможности R для изучения и анализа данных, выявления закономерностей, тенденций и взаимосвязей. Описательная статистика используется для обобщения и визуализации данных, а инференциальная - для предсказаний и выводов на основе выборочных данных. Кроме того, Data Science с использованием R предполагает реализацию алгоритмов машинного обучения для построения прогностических моделей. R предлагает множество пакетов для решения таких задач, как регрессия, классификация, кластеризация и рекомендательные системы. Эти алгоритмы позволяют специалистам по изучению данных выявлять закономерности в больших массивах данных и делать точные прогнозы.
В эпоху быстрых изменений окружающей среды, в которой мы живем, расширение знаний о взаимодействии между организмами и их экосистемами является основополагающим фактором для получения информации, которая может быть использована в практике защиты и охраны природы. Экология - важнейшая наука, позволяющая понять возникновение, распространение и эволюцию живых организмов, особенно сидячих растений. Достижения в области статистического моделирования, особенно регрессионные методы, стали важным помощником в исследовании причинно-следственных факторов в экологических закономерностях видов и их взаимодействий. Этот прогресс получил широкое распространение в программном обеспечении R благодаря разработке пакетов для различных видов анализа. Содержание этой книги посвящено различным регрессионным моделям на языке R, применяемым в экологии растений, и основано на практических примерах анализов на основе реальных данных, свободно предоставленных авторами. Используя простой и понятный язык, эта книга может быть использована аудиторией из различных академических областей, но особенно аспирантами и исследователями в области экологии, биоразнообразия, лесной инженерии и агрономии.
Forfattaren fortel om lyden R, som eigentleg ikkje er éin lyd, men mange. Både rulle-r og skarre-r har sin plass i det norske språket, men forfattaren viser òg at r-en har fleire lydlege slektningar: Den tjukke l-en er til dømes veslebror til r-en og stamfar til retrofleksane, som samtidig også er avkom etter r-en. Forfattaren dreg også ut i Europa på jakt etter "ur-r-en" og fortel historia om korleis skarre-r-en har spreidd seg. Med litteraturliste og liste over faguttrykk.
R-t, Margaret, and the Rats of Nimh
Jane Leslie Conly; Leonard (ILT) Lubin
HarperCollins Children's Books
1991
pokkari
When Margaret and her younger brother, Artie, get lost in the woods on a family camping trip, they are rescued by rats -- the superintelligent rats of NIMH. Taken into the rat's community, the children are safe for the time being. But winter is coming. Margaret and Artie have to get back home. And when they do, they must protect the rats who have helped them. Everything depends on their silence... but it's hard to evade questions forever. Children's Choices for 1991 (IRA/CBC)VOYA's Best Science Fiction, Fantasy, and Horror 1990Parenting Honorable Mention, Reading Magic Award
R and Data Mining introduces researchers, post-graduate students, and analysts to data mining using R, a free software environment for statistical computing and graphics. The book provides practical methods for using R in applications from academia to industry to extract knowledge from vast amounts of data. Readers will find this book a valuable guide to the use of R in tasks such as classification and prediction, clustering, outlier detection, association rules, sequence analysis, text mining, social network analysis, sentiment analysis, and more.Data mining techniques are growing in popularity in a broad range of areas, from banking to insurance, retail, telecom, medicine, research, and government. This book focuses on the modeling phase of the data mining process, also addressing data exploration and model evaluation.With three in-depth case studies, a quick reference guide, bibliography, and links to a wealth of online resources, R and Data Mining is a valuable, practical guide to a powerful method of analysis.
R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R in oceanographic data analysis, including both script codes and graphic outputs. Each chapter begins with theoretical background that is followed by step-by-step examples of software applications, including scripts, graphics, tables and practical exercises for better understanding of the subject. Examples include frequently used data analysis approaches in physical and chemical oceanography, but also contain topics on data import/export and GIS mapping. The examples seen in book provide uses of the latest versions of Python and R libraries.
Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone is the solution. Drawing on his unsurpassed experience teaching new users, professional data scientist Jared P. Lander has written the perfect tutorial for anyone new to statistical programming and modeling. Organized to make learning easy and intuitive, this guide focuses on the 20 percent of R functionality you’ll need to accomplish 80 percent of modern data tasks. Lander’s self-contained chapters start with the absolute basics, offering extensive hands-on practice and sample code. You’ll download and install R; navigate and use the R environment; master basic program control, data import, and manipulation; and walk through several essential tests. Then, building on this foundation, you’ll construct several complete models, both linear and nonlinear, and use some data mining techniques. By the time you’re done, you won’t just know how to write R programs, you’ll be ready to tackle the statistical problems you care about most. Coverage Includes: Exploring R, RStudio, and R packages Using R for math: variable types, vectors, calling functions, and more Exploiting data structures, including data.frames, matrices, and lists Creating attractive, intuitive statistical graphics Writing user-defined functions Controlling program flow with if, ifelse, and complex checks Improving program efficiency with group manipulations Combining and reshaping multiple datasets Manipulating strings using R’s facilities and regular expressions Creating normal, binomial, and Poisson probability distributions Programming basic statistics: mean, standard deviation, and t-tests Building linear, generalized linear, and nonlinear models Assessing the quality of models and variable selection Preventing overfitting, using the Elastic Net and Bayesian methods Analyzing univariate and multivariate time series data Grouping data via K-means and hierarchical clustering Preparing reports, slideshows, and web pages with knitr Building reusable R packages with devtools and Rcpp Getting involved with the R global community
R Study Card for Business Statistics
Norean Sharpe; Richard D. De Veaux; Paul Velleman
PEARSON EDUCATION (US)
2018
muu
A visionary work of science fiction that introduced the word "robot"Written in 1920, premiered in Prague in 1921, and first performed in New York in 1922—garnered worldwide acclaim for its author and popularized the word robot. Mass-produced as efficient laborers to serve man, Capek’s Robots are an android product—they remember everything but think of nothing new. But the Utopian life they provide ultimately lacks meaning, and the humans they serve stop reproducing. When the Robots revolt, killing all but one of their masters, they must strain to learn the secret of self-duplication. It is not until two Robots fall in love and are christened “Adam” and “Eve” by the last surviving human that Nature emerges triumphant.For more than seventy years, Penguin has been the leading publisher of classic literature in the English-speaking world. With more than 1,700 titles, Penguin Classics represents a global bookshelf of the best works throughout history and across genres and disciplines. Readers trust the series to provide authoritative texts enhanced by introductions and notes by distinguished scholars and contemporary authors, as well as up-to-date translations by award-winning translators.