You're reading from Codeless Deep Learning with KNIME

Product typeBook

Published inNov 2020

Reading LevelIntermediate

PublisherPackt

ISBN-139781800566613

Edition1st Edition

Languages

Python

Tools

Knime

Concepts

Deep Learning

Authors (3):

Kathrin Melcher

KNIME AG

Rosaria Silipo

View More author details

Summary

We do not have space in this book to describe more of the many nodes available in KNIME Analytics Platform. We will leave this exploratory task to you.

KNIME Analytics Platform includes more than 2,000 nodes and covers a large variety of functionalities. However, the factotum nodes that work in most situations are much fewer in number, such as, for example, File Reader, Row Filter, GroupBy, Join, Concatenation, Math Formula, String Manipulation, Rule Engine, and more. We have described most of them in this chapter to give you a solid basis to build more complex workflows for deep learning, which we will do in the next chapter.

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Codeless Deep Learning with KNIME

Published in: Nov 2020Publisher: PacktISBN-13: 9781800566613

Authors (3)

Kathrin Melcher

Kathrin Melcher is a data scientist at KNIME. She holds a master's degree in mathematics from the University of Konstanz, Germany. She joined the evangelism team at KNIME in 2017 and has a strong interest in data science and machine learning algorithms. She enjoys teaching and sharing her data science knowledge with the community, for example, in the book From Excel to KNIME, as well as on various blog posts and at training courses, workshops, and conference presentations.
Read more about Kathrin Melcher

KNIME AG

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You're reading from Codeless Deep Learning with KNIME

Summary

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Authors (3)

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Hands-On Natural Language Processing with PyTorch 1.x

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