LEADER 03252nam 22004333 450 001 9911046657403321 005 20240810060242.0 010 $a9788196815059$b(electronic bk.) 035 $a(MiAaPQ)EBC31592005 035 $a(Au-PeEL)EBL31592005 035 $a(CKB)33769649600041 035 $a(Exl-AI)31592005 035 $a(OCoLC)1451802737 035 $a(EXLCZ)9933769649600041 100 $a20240810d2024 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aUltimate Java for Data Analytics and Machine Learning $eUnlock Java's Ecosystem for Data Analysis and Machine Learning Using WEKA, JavaML, JFreeChart, and Deeplearning4j (English Edition) 205 $a1st ed. 210 1$aDelhi :$cOrange Education PVT Ltd,$d2024. 210 4$dİ2024. 215 $a1 online resource (222 pages) 311 08$aPrint version: Kumar, Abhishek Ultimate Java for Data Analytics and Machine Learning Delhi : Orange Education PVT Ltd,c2024 327 $aCover Page -- Title Page -- Copyright Page -- Dedication Page -- About the Author -- About the Technical Reviewer -- Acknowledgements -- Preface -- Errata -- Table of Contents -- 1. Data Analytics Using Java -- Introduction -- Structure -- Introduction to Data Analytics -- Types of Data Analytics -- Descriptive Analytics -- Predictive Analytics -- Prescriptive Analytics -- Importance of Data Analytics -- Data Analytics Methods -- Data Analytics Tools and Frameworks -- Apache Hadoop -- Apache Spark -- Apache Mahout -- Java JFreechart -- Deeplearning4j -- Apache Storm -- Conclusion -- Questions -- Points to Remember$7Generated by AI. 330 $aThis book is a comprehensive guide to data analysis using Java. It starts with the fundamentals, covering the purpose of data analysis, different data types and structures, and how to pre-process datasets. It then introduces popular Java libraries like WEKA and Rapidminer for efficient data analysis. The middle section of the book dives deeper into statistical techniques like descriptive analysis and random sampling, along with practical skills in working with relational databases (JDBC, SQL, MySQL) and NoSQL databases. It also explores various analysis methods like regression, classification, and clustering, along with applications in business intelligence and time series prediction. The final part of the book gives a brief overview of big data analysis with Java frameworks like MapReduce, and introduces deep learning with the Deeplearning4J library. Whether you're new to data analysis or want to improve your Java skills, this book offers a step-by-step approach with real-world examples to help you master data analysis using Java. 606 $aMachine learning$7Generated by AI 606 $aJava (Computer program language)$7Generated by AI 615 0$aMachine learning 615 0$aJava (Computer program language) 700 $aKumar$b Abhishek$0977677 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9911046657403321 996 $aUltimate Java for Data Analytics and Machine Learning$94468530 997 $aUNINA