About This BookGet to grips with the application of Machine Learning methods using an extensive set of R packagesUnderstand the benefits and potential pitfalls of using machine learning methodsImplement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML systemWho This Book Is ForIf you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a…
About This BookGet to grips with the application of Machine Learning methods using an extensive set of R packagesUnderstand the benefits and potential pitfalls of using machine learning methodsImplement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML systemWho This Book Is ForIf you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistics or machine learning will prove helpful.What You Will LearnGain deep insights to learn the applications of machine learning toolsManipulate data in R efficiently to prepare it for analysisMaster the skill of recognizing techniques for the effective visualization of dataUnderstand why and how to create test and training datasets for analysisFamiliarize yourself with fundamental learning methods such as linear and logistic regressionMaster advanced learning methods such as support vector machinesRealize why and how to apply unsupervised learning methodsIn Detail
Machine learning is a field of Artificial Intelligence, which aims to build systems that learn from data. Given the growing prominence of R a cross-platform, zero-cost statistical programming environment there has never been a better time to start applying machine learning to your data.
The book starts with an introduction to the cross-industry standard process for data mining. It also takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of "Unsupervised techniques." Finally, the book will walk you through text analysis and time series.
The book provides you with practical and real-world solutions to problems and teaches you a variety of tasks, such as building complex recommendation systems. By the end of this book, you will have gained expertise in building complex ML projects using R and its packages."
74,49 €
Prisijunkiteir už šią prekę gausite0,74 Knygų Eurų!?
Elektroninė knyga:
Atsiuntimas po užsakymo akimirksniu! Skirta skaitymui tik kompiuteryje, planšetėje ar kitame elektroniniame įrenginyje.
About This BookGet to grips with the application of Machine Learning methods using an extensive set of R packagesUnderstand the benefits and potential pitfalls of using machine learning methodsImplement the numerous powerful features offered by R with this comprehensive guide to building an independent R-based ML systemWho This Book Is ForIf you want to learn how to use R's machine learning capabilities to solve complex business problems, then this book is for you. Some experience with R and a working knowledge of basic statistics or machine learning will prove helpful.What You Will LearnGain deep insights to learn the applications of machine learning toolsManipulate data in R efficiently to prepare it for analysisMaster the skill of recognizing techniques for the effective visualization of dataUnderstand why and how to create test and training datasets for analysisFamiliarize yourself with fundamental learning methods such as linear and logistic regressionMaster advanced learning methods such as support vector machinesRealize why and how to apply unsupervised learning methodsIn Detail
Machine learning is a field of Artificial Intelligence, which aims to build systems that learn from data. Given the growing prominence of R a cross-platform, zero-cost statistical programming environment there has never been a better time to start applying machine learning to your data.
The book starts with an introduction to the cross-industry standard process for data mining. It also takes you through Multivariate Regression in detail. Moving on, you will also address Classification and Regression trees. You will learn a couple of "Unsupervised techniques." Finally, the book will walk you through text analysis and time series.
The book provides you with practical and real-world solutions to problems and teaches you a variety of tasks, such as building complex recommendation systems. By the end of this book, you will have gained expertise in building complex ML projects using R and its packages."
Atsiliepimai
Atsiliepimų nėra
0 pirkėjai įvertino šią prekę.
5
0%
4
0%
3
0%
2
0%
1
0%
Kainos garantija
Ženkliuku „Kainos garantija” pažymėtoms prekėms Knygos.lt garantuoja geriausią kainą. Jei identiška prekė kitoje internetinėje parduotuvėje kainuoja mažiau - kompensuojame kainų skirtumą. Kainos lyginamos su knygos.lt nurodytų parduotuvių sąrašu prekių kainomis. Knygos.lt įsipareigoja kompensuoti kainų skirtumą pirkėjui, kuris kreipėsi „Kainos garantijos” taisyklėse nurodytomis sąlygomis. Sužinoti daugiau
Elektroninė knyga
22,39 €
DĖMESIO!
Ši knyga pateikiama ACSM formatu. Jis nėra tinkamas įprastoms skaityklėms, kurios palaiko EPUB ar MOBI formato el. knygas.
Svarbu! Nėra galimybės siųstis el. knygų jungiantis iš Jungtinės Karalystės.
Tai knyga, kurią parduoda privatus žmogus. Kai apmokėsite užsakymą, jį per 7 d. išsiųs knygos pardavėjas . Jei to pardavėjas nepadarys laiku, pinigai jums bus grąžinti automatiškai.
Šios knygos būklė nėra įvertinta knygos.lt ekspertų, todėl visa atsakomybė už nurodytą knygos kokybę priklauso pardavėjui.
Atsiliepimai