| 書目名稱 | Practical Machine Learning Illustrated with KNIME |
| 編輯 | Yu Geng,Qin Li,Wan Qiu |
| 視頻video | http://file.papertrans.cn/754/753108/753108.mp4 |
| 概述 | Explains basic theories without over explanation for readers to build machine learning models.Guides readers step by step to use KNIME to practice machine learning.Provides examples from Kaggle compet |
| 圖書封面 |  |
| 描述 | .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.. |
| 出版日期 | Textbook 2024 |
| 關(guān)鍵詞 | KNIME; Deep Learning; Artificial Intelligence; Machine learning; Data science; Data Analysis |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-97-3954-7 |
| isbn_softcover | 978-981-97-3956-1 |
| isbn_ebook | 978-981-97-3954-7 |
| copyright | Publishing House of Electronics Industry 2024 |
|Archiver|手機版|小黑屋|
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