Download Practical Machine Learning Illustrated with KNIME 2024
Practical Machine Learning Illustrated with KNIME book pdf download, guides professionals and students from various backgrounds to use machine learning in their own fields and chemistry with low-code platform KNIME and without coding. Many people from various industries need use machine learning algorithms 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.
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.
- Author (s): Yu Geng, Qin Li, Geng Yang, Wan Qiu
- Year of publication: 2024
- Publisher: Springer
- Language: English
- ISBN: 9819739535, 9789819739530, 9789819739547, 9819739543
- Pages: 312 pages
- Book format: PDF
- File size: 12 MB
