Java data analysis: data mining, big data analysis, NoSQL, and data visualization
If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to g...
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2017
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781787285651/?ar |
| Zusammenfassung: | If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you'll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java. |
| Beschreibung: | Includes index. - Online resource; title from cover (Safari, viewed October 31, 2017) |
| Umfang: | 1 Online-Ressource (384 Seiten) Illustrationen |
| ISBN: | 9781787286405 1787286401 1787285650 9781787285651 |
Internformat
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| 520 | |a If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you'll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java. | ||
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| genre | Handbook |
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| indexdate | 2025-05-05T13:24:11Z |
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| isbn | 9781787286405 1787286401 1787285650 9781787285651 |
| language | English |
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| spelling | Hubbard, J. R. 1943- VerfasserIn aut Java data analysis data mining, big data analysis, NoSQL, and data visualization John R. Hubbard Birmingham, UK Packt Publishing 2017 1 Online-Ressource (384 Seiten) Illustrationen Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index. - Online resource; title from cover (Safari, viewed October 31, 2017) If you are a student or Java developer or a budding data scientist who wishes to learn the fundamentals of data analysis and learn to perform data analysis with Java, this book is for you. Some familiarity with elementary statistics and relational databases will be helpful but is not mandatory, to get the most out of this book. A firm understanding of Java is required. This book will help you learn the tools and techniques in Java to conduct data analysis without any hassle. After getting a quick overview of what data science is and the steps involved in the process, you'll learn the statistical data analysis techniques and implement them using the popular Java APIs and libraries. Through practical examples, you will also learn the machine learning concepts such as classification and regression. By the end of this book, you will have a solid understanding of the various data analysis techniques, and how to implement them using Java. Java (Computer program language) Java (Computer program language) Handbooks, manuals, etc Relational databases Computer programs Regression analysis Computer programs Data mining Information visualization Electronic data processing Relational databases Data Mining Java (Langage de programmation) Java (Langage de programmation) ; Guides, manuels, etc Bases de données relationnelles ; Logiciels Exploration de données (Informatique) Visualisation de l'information Bases de données relationnelles COMPUTERS ; Programming Languages ; Java COMPUTERS ; Databases ; Data Mining Relational databases ; Computer programs Regression analysis ; Computer programs handbooks Handbooks and manuals Guides et manuels Handbook 9781787285651 Erscheint auch als Druck-Ausgabe 9781787285651 |
| spellingShingle | Hubbard, J. R. 1943- Java data analysis data mining, big data analysis, NoSQL, and data visualization Java (Computer program language) Java (Computer program language) Handbooks, manuals, etc Relational databases Computer programs Regression analysis Computer programs Data mining Information visualization Electronic data processing Relational databases Data Mining Java (Langage de programmation) Java (Langage de programmation) ; Guides, manuels, etc Bases de données relationnelles ; Logiciels Exploration de données (Informatique) Visualisation de l'information Bases de données relationnelles COMPUTERS ; Programming Languages ; Java COMPUTERS ; Databases ; Data Mining Relational databases ; Computer programs Regression analysis ; Computer programs handbooks Handbooks and manuals Guides et manuels |
| title | Java data analysis data mining, big data analysis, NoSQL, and data visualization |
| title_auth | Java data analysis data mining, big data analysis, NoSQL, and data visualization |
| title_exact_search | Java data analysis data mining, big data analysis, NoSQL, and data visualization |
| title_full | Java data analysis data mining, big data analysis, NoSQL, and data visualization John R. Hubbard |
| title_fullStr | Java data analysis data mining, big data analysis, NoSQL, and data visualization John R. Hubbard |
| title_full_unstemmed | Java data analysis data mining, big data analysis, NoSQL, and data visualization John R. Hubbard |
| title_short | Java data analysis |
| title_sort | java data analysis data mining big data analysis nosql and data visualization |
| title_sub | data mining, big data analysis, NoSQL, and data visualization |
| topic | Java (Computer program language) Java (Computer program language) Handbooks, manuals, etc Relational databases Computer programs Regression analysis Computer programs Data mining Information visualization Electronic data processing Relational databases Data Mining Java (Langage de programmation) Java (Langage de programmation) ; Guides, manuels, etc Bases de données relationnelles ; Logiciels Exploration de données (Informatique) Visualisation de l'information Bases de données relationnelles COMPUTERS ; Programming Languages ; Java COMPUTERS ; Databases ; Data Mining Relational databases ; Computer programs Regression analysis ; Computer programs handbooks Handbooks and manuals Guides et manuels |
| topic_facet | Java (Computer program language) Java (Computer program language) Handbooks, manuals, etc Relational databases Computer programs Regression analysis Computer programs Data mining Information visualization Electronic data processing Relational databases Data Mining Java (Langage de programmation) Java (Langage de programmation) ; Guides, manuels, etc Bases de données relationnelles ; Logiciels Exploration de données (Informatique) Visualisation de l'information Bases de données relationnelles COMPUTERS ; Programming Languages ; Java COMPUTERS ; Databases ; Data Mining Relational databases ; Computer programs Regression analysis ; Computer programs handbooks Handbooks and manuals Guides et manuels Handbook |
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