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Ultimate Java for Data Analytics and Machine Learning

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Title: Ultimate Java for Data Analytics and Machine Learning
Description: This 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.
Authors: Abhishek Kumar
Resource Type: eBook.
Subjects: Database management, Java (Computer program language), Computers, Data mining, Language and languages, Electronic books
Categories: COMPUTERS / Languages / Java
Database: eBook Collection (EBSCOhost)
FullText Links:
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  Data: This 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.
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      – Code: eng
        Text: English
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      – SubjectFull: Database management
        Type: general
      – SubjectFull: Java (Computer program language)
        Type: general
      – SubjectFull: Computers
        Type: general
      – SubjectFull: Data mining
        Type: general
      – SubjectFull: Language and languages
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      – SubjectFull: Electronic books
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      – TitleFull: Ultimate Java for Data Analytics and Machine Learning
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2024
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