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Data science with KNIME : data exploration, machine learning and visualization using codeless visual programming / Dr. Nickholas Anting.

By: Anting Anak Guntor, Nickholas [autor.]Material type: TextTextLanguage: English Publisher: Batu Pahat, Malasia : Naspsoft Intelligence Academy, 2022Edition: Primera ediciónDescription: 293 páginas : ilustraciones, gráficas ; 24 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9786299694106Subject(s): Minería de datos -- Enseñanza | Análisis de datos -- Estrategia y técnica | Aprendizaje automático (Inteligencia Artificial) | Lenguajes de programación visual | Procesamiento de datos en línea | KnimeDDC classification: 005.74
Contents:
Chapter 1. Data science fundamental ; Chapter 2. Visual programming with KNIME ; Chapter 3. Exploratory data analysis ; Chapter 4. Machine learning theory ; Chapter 5. Machine learning process ; Chapter 6. Regression model ; Chapter 7. Classification model ; Chapter 8. Clustering model ; Chapter 9. Practical analytics project.
Abstract: Data science with KNIME is a book written for professionals and students who want to learn practical data science without worrying about coding. The book is packed with theories and practical activities that guide students step-by-step to execute actual data science tasks with a visual programming tool, KNIME analytics platform. With KNIME software, it is codeless, and no coding required. It accelerates the process of turning data into insights. Contraportada.
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General 005.74 / AN631 2022 (Browse shelf(Opens below)) Ej.1 Checked out 2024-05-09 7109101491
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Incluye índice y referencias.

Chapter 1. Data science fundamental ; Chapter 2. Visual programming with KNIME ; Chapter 3. Exploratory data analysis ; Chapter 4. Machine learning theory ; Chapter 5. Machine learning process ; Chapter 6. Regression model ; Chapter 7. Classification model ; Chapter 8. Clustering model ; Chapter 9. Practical analytics project.

Data science with KNIME is a book written for professionals and students who want to learn practical data science without worrying about coding. The book is packed with theories and practical activities that guide students step-by-step to execute actual data science tasks with a visual programming tool, KNIME analytics platform. With KNIME software, it is codeless, and no coding required. It accelerates the process of turning data into insights. Contraportada.

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