logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Practical Machine Learning Illustrated With Knime 1st Edition Yu Geng Qin Li Geng Yang Wan Qiu

  • SKU: BELL-59478812
Practical Machine Learning Illustrated With Knime 1st Edition Yu Geng Qin Li Geng Yang Wan Qiu
$ 31.00 $ 45.00 (-31%)

4.8

14 reviews

Practical Machine Learning Illustrated With Knime 1st Edition Yu Geng Qin Li Geng Yang Wan Qiu instant download after payment.

Publisher: Springer Nature
File Extension: PDF
File size: 37.49 MB
Pages: 312
Author: Yu Geng . Qin Li . Geng Yang . Wan Qiu
ISBN: 9789819739547, 9789819739530, 9819739543, 9819739535
Language: English
Year: 2024
Edition: 1

Product desciption

Practical Machine Learning Illustrated With Knime 1st Edition Yu Geng Qin Li Geng Yang Wan Qiu by Yu Geng . Qin Li . Geng Yang . Wan Qiu 9789819739547, 9789819739530, 9819739543, 9819739535 instant download after payment.

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.

Related Products