000			01672nam a22002537a 4500
005			20260710173057.0
008			260710s2024 |||||||| |||| 00| 0 eng d
020			_a9789819739530
040			_cPK-LaUMT
082			_a006.31 _bPRA-
245	0	0	_aPractical machine learning illustrated with KNIME / _cYu Geng . . . [et al.]
260			_aCham : _bSpringer, _c2024
300			_axiv, 304 p.
500			_aIncludes bibliographical references.
520			_aThis 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
546			_aEng
650			_aKNIME-(computer system) _913583
650			_aMachine learning
700	1		_aGeng, Yu _913584
700	1		_aLi, Qin _913585
700	1		_aYang, Geng _913586
700	1		_aQiu, Wan _913587
942			_cBK
999			_c141389 _d141389