Cargando…
Machine learning with R : expert techniques for predictive modeling /
A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition features newer and better libraries, advice on ethical and bias issues, a...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt,
[2019]
|
| Edición: | Third edition. |
| Colección: | Expert insight.
|
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
| LEADER | 00000cam a2200000 i 4500 | ||
|---|---|---|---|
| 001 | OR_on1124738002 | ||
| 003 | OCoLC | ||
| 005 | 20231017213018.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 191022s2019 enka ob 001 0 eng d | ||
| 040 | |a HUA |b eng |e rda |e pn |c HUA |d EBLCP |d YDXIT |d UKAHL |d N$T |d YDX |d OCLCF |d TEFOD |d OCLCQ |d UX1 |d K6U |d NLW |d OCLCO |d ORMDA |d OCLCQ |d OCLCO |d NZAUC |d ORMDA |d OCLCQ |d PSYSI |d OCLCQ |d OCLCO | ||
| 019 | |a 1097960814 |a 1099352179 |a 1151984455 |a 1275065235 |a 1301392192 | ||
| 020 | |a 9781523125241 | ||
| 020 | |a 1523125241 | ||
| 020 | |a 9781788291552 |q (electronic book) | ||
| 020 | |a 1788291557 |q (electronic book) | ||
| 020 | |a 1788295862 | ||
| 020 | |a 9781788295864 | ||
| 020 | |z 9781788295864 | ||
| 020 | |z 1788295862 | ||
| 024 | 3 | |a 9781788295864 | |
| 029 | 1 | |a CHNEW |b 001053330 | |
| 029 | 1 | |a CHVBK |b 567699633 | |
| 029 | 1 | |a AU@ |b 000066202954 | |
| 035 | |a (OCoLC)1124738002 |z (OCoLC)1097960814 |z (OCoLC)1099352179 |z (OCoLC)1151984455 |z (OCoLC)1275065235 |z (OCoLC)1301392192 | ||
| 037 | |a A368BF80-9A0F-4230-B74D-61F1306BE25B |b OverDrive, Inc. |n http://www.overdrive.com | ||
| 037 | |a 9781788295864 |b O'Reilly Media | ||
| 050 | 4 | |a Q325.5 |b .L367 2019 | |
| 072 | 7 | |a COM |x 051010 |2 bisacsh | |
| 082 | 0 | 4 | |a 006.31 |2 23 |
| 049 | |a UAMI | ||
| 100 | 1 | |a Lantz, Brett, |e author. | |
| 245 | 1 | 0 | |a Machine learning with R : |b expert techniques for predictive modeling / |c Brett Lantz. |
| 250 | |a Third edition. | ||
| 264 | 1 | |a Birmingham, UK : |b Packt, |c [2019] | |
| 300 | |a 1 online resource (xiii, 437 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Expert insight | |
| 500 | |a Includes index. | ||
| 505 | 0 | |a Introducing machine learning -- Managing and understanding data -- Lazy learning -- classification using nearest neighbors -- Probabilistic learning -- classification using naive Bayes -- Divide and conquer -- classification using decision trees and rules -- Forecasting numeric data -- regression methods -- Black box methods -- neural networks and support vector machines -- Finding patterns -- market basket analysis using association rules -- Finding groups of data -- clustering with k-means -- Evaluation model performance -- Improving model performance -- Specialized machine learning topics. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a A hands-on, readable guide to machine learning with R. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights and make new predictions. The 3rd edition features newer and better libraries, advice on ethical and bias issues, and an introduction to deep learning. | ||
| 506 | 1 | |a Legal Deposit; |c Only available on premises controlled by the deposit library and to one user at any one time; |e The Legal Deposit Libraries (Non-Print Works) Regulations (UK). |5 WlAbNL | |
| 540 | |a Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. |5 WlAbNL | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a R (Computer program language) | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a R (Langage de programmation) | |
| 650 | 7 | |a Algorithms & data structures. |2 bicssc | |
| 650 | 7 | |a Data mining. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a COMPUTERS |x Programming Languages |x General. |2 bisacsh | |
| 650 | 7 | |a Machine learning |2 fast | |
| 650 | 7 | |a R (Computer program language) |2 fast | |
| 776 | 0 | 8 | |i Print version: |a Lantz, Brett. |t Machine learning with R |z 9781788295864 |
| 830 | 0 | |a Expert insight. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781788295864/?ar |z Texto completo (Requiere registro previo con correo institucional) |
| 938 | |a Askews and Holts Library Services |b ASKH |n BDZ0039990339 | ||
| 938 | |a ProQuest Ebook Central |b EBLB |n EBL5752784 | ||
| 938 | |a EBSCOhost |b EBSC |n 2106304 | ||
| 938 | |a YBP Library Services |b YANK |n 16171177 | ||
| 994 | |a 92 |b IZTAP | ||