Practical machine learning illustrated with KNIME / Yu Geng . . . [et al.]

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TextPublication details: Cham : Springer, 2024Description: xiv, 304 pISBN:

9789819739530

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DDC classification:

006.31 PRA-

Summary: This book guides professionals and students from various backgrounds to use machine learning in their own fields with low-code platform KNIME and without coding. Many people from various industries need use machine learning to solve problems in their own domains. However, machine learning is often viewed as the domain of programmers, especially for those who are familiar with Python. It is too hard for people from different backgrounds to learn Python to use machine learning. KNIME, the low-code platform, comes to help. KNIME helps people use machine learning in an intuitive environment, enabling everyone to focus on what to do instead of how to do. This book helps the readers gain an intuitive understanding of the basic concepts of machine learning through illustrations to practice machine learning in their respective fields. The author provides a practical guide on how to participate in Kaggle completions with KNIME to practice machine learning techniques

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Books

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Current library	Call number	Status	Barcode
UMT Main Campus	006.31 PRA- (Browse shelf(Opens below))	Available	153278

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Previous	006.31 PEN-D Deep learning generalization : theoretical foundations and practical strategies /	006.31 PIN-M The machine learning solutions architect handbook /	006.31 PRA- Practical machine learning : a beginner's guide with ethical insights /	006.31 PRA- Practical machine learning illustrated with KNIME /	006.31 QUA- Quantum machine learning : a modern approach /	006.31 QUA- Quantum machine learning : quantum algorithm and neural networks /	006.31 RAS-M Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python /	Next

Includes bibliographical references.

This book guides professionals and students from various backgrounds to use machine learning in their own fields with low-code platform KNIME and without coding. Many people from various industries need use machine learning to solve problems in their own domains. However, machine learning is often viewed as the domain of programmers, especially for those who are familiar with Python. It is too hard for people from different backgrounds to learn Python to use machine learning. KNIME, the low-code platform, comes to help. KNIME helps people use machine learning in an intuitive environment, enabling everyone to focus on what to do instead of how to do. This book helps the readers gain an intuitive understanding of the basic concepts of machine learning through illustrations to practice machine learning in their respective fields. The author provides a practical guide on how to participate in Kaggle completions with KNIME to practice machine learning techniques

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