R Data Mining. Implement data mining techniques through practical use cases and real-world datasets

(ebook) (audiobook) (audiobook)

Autor:: Andrea Cirillo

R Data Mining. Implement data mining techniques through practical use cases and real-world datasets Andrea Cirillo - okladka książki

R Data Mining. Implement data mining techniques through practical use cases and real-world datasets Andrea Cirillo - audiobook MP3

R Data Mining. Implement data mining techniques through practical use cases and real-world datasets Andrea Cirillo - audiobook CD

Wydawnictwo:: Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:: Bądź pierwszym, który oceni tę książkę
Stron:: 442
Dostępne formaty::      PDF

     ePub

     Mobi

Ebook

139,00 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

Przenieś na półkę

Do przechowalni

R is widely used to leverage data mining techniques across many different industries, including finance, medicine, scientific research, and more. This book will empower you to produce and present impressive analyses from data, by selecting and implementing the appropriate data mining techniques in R.
It will let you gain these powerful skills while immersing in a one of a kind data mining crime case, where you will be requested to help resolving a real fraud case affecting a commercial company, by the mean of both basic and advanced data mining techniques.
While moving along the plot of the story you will effectively learn and practice on real data the various R packages commonly employed for this kind of tasks. You will also get the chance of apply some of the most popular and effective data mining models and algos, from the basic multiple linear regression to the most advanced Support Vector Machines. Unlike other data mining learning instruments, this book will effectively expose you the theory behind these models, their relevant assumptions and when they can be applied to the data you are facing. By the end of the book you will hold a new and powerful toolbox of instruments, exactly knowing when and how to employ each of them to solve your data mining problems and get the most out of your data.
Finally, to let you maximize the exposure to the concepts described and the learning process, the book comes packed with a reproducible bundle of commented R scripts and a practical set of data mining models cheat sheets.

Wybrane bestsellery

O autorze książki

Andrea Cirillo is currently working as an audit quantitative analyst at Intesa Sanpaolo Banking Group. He gained financial and external audit experience at Deloitte Touche Tohmatsu and internal audit experience at FNM, a listed Italian company. His main responsibilities involve the evaluation of credit risk management models and their enhancement, mainly within the field of the Basel III capital agreement. He is married to Francesca and is the father of Tommaso, Gianna, Zaccaria, and Filippo. Andrea has written and contributed to a few useful R packages such as updateR, ramazon, and paletteR, and regularly shares insightful advice and tutorials on R programming. His research and work mainly focus on the use of R in the fields of risk management and fraud detection, largely by modeling custom algorithms and developing interactive applications. Andrea has previously authored RStudio for R Statistical Computing Cookbook for Packt Publishing.

Ebooka "R Data Mining. Implement data mining techniques through practical use cases and real-world datasets" przeczytasz na:

czytnikach Inkbook, Kindle, Pocketbook, Onyx Booxs i innych
systemach Windows, MacOS i innych

systemach Windows, Android, iOS, HarmonyOS
na dowolnych urządzeniach i aplikacjach obsługujących formaty: PDF, EPub, Mobi

Masz pytania? Zajrzyj do zakładki Pomoc »

Audiobooka "R Data Mining. Implement data mining techniques through practical use cases and real-world datasets" posłuchasz:

w aplikacji Ebookpoint na Android, iOS, HarmonyOs
na systemach Windows, MacOS i innych

na dowolonych urządzeniach
i aplikacjach obsługujących format MP3
(pliki spakowane w ZIP)

Masz pytania? Zajrzyj do zakładki Pomoc »

Kurs Video "R Data Mining. Implement data mining techniques through practical use cases and real-world datasets" zobaczysz:

Oceny i opinie klientów: R Data Mining. Implement data mining techniques through practical use cases and real-world datasets Andrea Cirillo (0) Weryfikacja opinii następuję na podstawie historii zamówień na koncie Użytkownika umieszczającego opinię. Użytkownik mógł otrzymać punkty za opublikowanie opinii uprawniające do uzyskania rabatu w ramach Programu Punktowego.

Szczegóły książki

Tytuł oryginału:: R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
ISBN Ebooka:: 978-17-871-2923-8, 9781787129238
Data wydania ebooka :: 2017-11-29 Data wydania ebooka często jest dniem wprowadzenia tytułu do sprzedaży i może nie być równoznaczna z datą wydania książki papierowej. Dodatkowe informacje możesz znaleźć w darmowym fragmencie. Jeśli masz wątpliwości skontaktuj się z nami sklep@helion.pl.
Język publikacji:: 1
Rozmiar pliku Pdf:: 15.2MB
Rozmiar pliku ePub:: 14.6MB
Rozmiar pliku Mobi:: 38.9MB

Zgłoś erratę
Kategorie:
Bazy danych
Big Data
Big Data » Analiza danych

Spis treści książki

1. Why to Choose R for Your Data Mining and Where to Start
2. A First Primer on Data Mining Analysing Your Bank Account Data
3. The Data Mining Process - CRISP-DM Methodology
4. Keeping the House Clean – The Data Mining Architecture
5. How to Address a Data Mining Problem – Data Cleaning and Validation
6. Looking into Your Data Eyes – Exploratory Data Analysis
7. Our First Guess – a Linear Regression
8. A Gentle Introduction to Model Performance Evaluation
9. Don't Give up – Power up Your Regression Including Multiple Variables
10. Addressing the Problem from Another Perspective Through Classification Models
11. The Final Clash – Random Forests and Ensemble Learning
12. Looking for the Culprit – Text Data Mining with R
13. Sharing Your Stories with Your Stakeholders through R Markdown
14. Epilogue
15. Appendix A: Dealing with Dates, Relative Paths and Functions

pokaż cały spis treści

Packt Publishing - inne książki

Zamknij

Proszę czekać...