Daroczi (85 results)

Condition: Fine. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: very_good. Gently read. May have name of previous ownership, or ex-library edition. Binding tight; spine straight and smooth, with no creasing; covers clean and crisp. Minimal signs of handling or shelving. 100% GUARANTEE! Shipped with delivery confirmation, if you're not satisfied with purchase please return item! Ships USPS Media Mail.

Condition: New.

Soft cover. Condition: New. Dust Jacket Condition: New. **INTERNATIONAL EDITION** Read carefully before purchase: This book is the international edition in mint condition with the different ISBN and book cover design, the major content is printed in full English as same as the original North American edition. The book printed in black and white, generally send in twenty-four hours after the order confirmed. All shipments go through via USPS/UPS/DHL with tracking numbers. Great professional textbook selling experience and expedite shipping service.

Paperback. Condition: New. R is a statistical computing language that s ideal for answering quantitative finance questions. This book gives you both theory and practice, all in clear language with stacks of real-world examples. Ideal for R beginners or expert alike.Key FeaturesUse time series analysis to model and forecast house pricesEstimate the term structure of interest rates using prices of government bondsDetect systemically important financial institutions by employing financial network analysisBook DescriptionIntroduction to R for Quantitative Finance will show you how to solve real-world quantitative fi nance problems using the statistical computing language R. The book covers diverse topics ranging from time series analysis to fi nancial networks. Each chapter briefl y presents the theory behind specific concepts and deals with solving a diverse range of problems using R with the help of practical examples.This book will be your guide on how to use and master R in order to solve quantitative finance problems. This book covers the essentials of quantitative finance, taking you through a number of clear and practical examples in R that will not only help you to understand the theory, but how to effectively deal with your own real-life problems.Starting with time series analysis, you will also learn how to optimize portfolios and how asset pricing models work. The book then covers fixed income securities and derivatives such as credit risk management.What you will learnHow to model and forecast house prices and improve hedge ratios using cointegration and model volatilityHow to understand the theory behind portfolio selection and how it can be applied to real-world dataHow to utilize the Capital Asset Pricing Model and the Arbitrage Pricing TheoryHow to understand the basics of fixed income instrumentsYou will discover how to use discrete- and continuous-time models for pricing derivative securitiesHow to successfully work with credit default models and how to model correlated defaults using copulasHow to understand the uses of the Extreme Value Theory in insurance and fi nance, model fitting, and risk measure calculationWho this book is forIf you are looking to use R to solve problems in quantitative finance, then this book is for you. A basic knowledge of financial theory is assumed, but familiarity with R is not required. With a focus on using R to solve a wide range of issues, this book provides useful content for both the R beginner and more experience users.

26 x 23,5 cm. Condition: Gut. 209 pages Softcover, paperback in good condition. Exterior shows only slight signs of storage or wear, interior is immaculate. Please see our pictures. Softcover, Broschur in gutem Zustand. Außen mit nur leichten Lager- oder Gebrauchspuren innen tadellos. Bitte beachten Sie unsere Bilder. Büro 33 Sprache: Englisch Gewicht in Gramm: 625.

Condition: Very good.

Condition: Very good.

Condition: New.

Condition: New.

paperback. Condition: New.

Digital. Condition: New. COM051390.

Soft Cover. Condition: Good++. Bilingual- In hungarian (I assume) and in english. Covers have some shelfwear, light edgewear, a few scuffs and light scratches. Closed tear on back lower edge near spine. Pages are clean, unmarked and tight, they have a lightly bumped upper corner, light reading wear. Nice color illustrations of the art work. Pages unmarked. 55 pages.

Digital. Condition: New. Gain sharp insights into your data and solve real-world data science problems with R-from data munging to modeling and visualizationAbout This Book. Handle your data with precision and care for optimal business intelligence. Restructure and transform your data to inform decision-making. Packed with practical advice and tips to help you get to grips with data miningWho This Book Is ForIf you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic.What You Will Learn. Connect to and load data from R's range of powerful databases. Successfully fetch and parse structured and unstructured data. Transform and restructure your data with efficient R packages. Define and build complex statistical models with glm. Develop and train machine learning algorithms. Visualize social networks and graph data. Deploy supervised and unsupervised classification algorithms. Discover how to visualize spatial data with RIn DetailR is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently.This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage.Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods.Style and approachCovering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

paperback. Condition: New. 1st.

Paperback. Condition: New.

Condition: New. In.

Digital. Condition: New. Gain sharp insights into your data and solve real-world data science problems with R-from data munging to modeling and visualizationAbout This Book. Handle your data with precision and care for optimal business intelligence. Restructure and transform your data to inform decision-making. Packed with practical advice and tips to help you get to grips with data miningWho This Book Is ForIf you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic.What You Will Learn. Connect to and load data from R's range of powerful databases. Successfully fetch and parse structured and unstructured data. Transform and restructure your data with efficient R packages. Define and build complex statistical models with glm. Develop and train machine learning algorithms. Visualize social networks and graph data. Deploy supervised and unsupervised classification algorithms. Discover how to visualize spatial data with RIn DetailR is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently.This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage.Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods.Style and approachCovering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

Condition: New.

Paperback. Condition: new. Paperback. Hadewijch, a Flemish beguine, who lived and wrote somewhere in Brabantduring the thirteenth century, has brought mystical literature as awhole to its highest point.Hadewijchs teaching is most accessible in her Letters, asthere it is cast in a mould that succeeds in touching the senses as wellas the mind. In her text, oral and written culture combine to form anorganic unity: when Hadewijch writes, she not only builds sentences withwords but composes sounds as well. In these mystical texts, minne(love) is pivotal as regards both form and content-- a distinction which Hadewijch largely overrides. As regards form, minneserves as a catchword which occurs everywhere, again and again, drawingtogether different parts and sections. As regards content, minneis the key to the mystical experience evoked by Hadewijch and refers asmuch to the person who lives the mystical union (along with the contentof this feeling), as to the way in which this union makes itself felt.This edition of Hadewijchs Letters includes the text ofthe 31 letters. The English text is not intended to be a word-for-wordtranslation from the Middle Dutch, though it tries to keep closely tothe original. Hadewijchs own words, phrases and turns of phrase aretransposed into the English text, especially when these are repeated anddo not become a stumbling block for the present-day reader. There is acommentary to each Letter. However, the purpose in each case is not toaccumulate the erudition of specialists or to comment on differentinterpretations. The aim is to encourage a slow and lovingreading of the text itself, while trying to avoid any ready-madesummary of what Hadewijch has to say. This edition also offers a new,sound-based lay-out of the text which is intended to assist anappreciation of the creativity of this gifted writer whose words andphrasing literally make music. Hadewijch, a Flemish beguine, who lived and wrote somewhere in Brabant during the thirteenth century, has brought mystical literature as a whole to its highest point. Hadewijch's teaching is most accessible in her Letters, as there it is cast in a mould that succeeds in touching the senses as well as the mind. In her text, oral and w Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. 2016. Paperback. . . . . .

Condition: Very good.

Condition: As New. Unread book in perfect condition.

Digital. Condition: New. Gain sharp insights into your data and solve real-world data science problems with R-from data munging to modeling and visualizationAbout This Book. Handle your data with precision and care for optimal business intelligence. Restructure and transform your data to inform decision-making. Packed with practical advice and tips to help you get to grips with data miningWho This Book Is ForIf you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic.What You Will Learn. Connect to and load data from R's range of powerful databases. Successfully fetch and parse structured and unstructured data. Transform and restructure your data with efficient R packages. Define and build complex statistical models with glm. Develop and train machine learning algorithms. Visualize social networks and graph data. Deploy supervised and unsupervised classification algorithms. Discover how to visualize spatial data with RIn DetailR is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently.This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage.Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods.Style and approachCovering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.

Paperback. Condition: Like New. Like New. book.

Condition: As New. Unread book in perfect condition.