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You're reading from  Codeless Deep Learning with KNIME

Product typeBook
Published inNov 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781800566613
Edition1st Edition
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Authors (3):
Kathrin Melcher
Kathrin Melcher
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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

Rosaria Silipo
Rosaria Silipo
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Rosaria Silipo

Rosaria Silipo, Ph.D., now head of data science evangelism at KNIME, has spent 25+ years in applied AI, predictive analytics, and machine learning at Siemens, Viseca, Nuance Communications, and private consulting. Sharing her practical experience in a broad range of industries and deployments, including IoT, customer intelligence, financial services, social media, and cybersecurity, Rosaria has authored 50+ technical publications, including her recent books Guide to Intelligent Data Science (Springer) and Codeless Deep Learning with KNIME (Packt).
Read more about Rosaria Silipo

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Exploring KNIME Software

We will mainly be working with two KNIME products: KNIME Analytics Platform and KNIME Server. KNIME Analytics Platform includes ML and deep learning algorithms and data operations needed for data science projects. KNIME Server, on the other hand, provides the IT infrastructure for easy and secure deployment, as well as model monitoring over time.

We'll concentrate on KNIME Analytics Platform first and provide an overview of what it can accomplish.

KNIME Analytics Platform

KNIME Analytics Platform is an open source piece of software for all your data needs. It is free to download from the KNIME website (https://www.knime.com/downloads) and free to use. It covers all the main data wrangling and machine learning techniques available at the time of writing, and it is based on visual programming.

Visual programming is a key feature of KNIME Analytics Platform for quick prototyping. It makes the tool very easy to use. In visual programming, a Graphical...

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Published in: Nov 2020Publisher: PacktISBN-13: 9781800566613
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Authors (3)

author image
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

author image
Rosaria Silipo

Rosaria Silipo, Ph.D., now head of data science evangelism at KNIME, has spent 25+ years in applied AI, predictive analytics, and machine learning at Siemens, Viseca, Nuance Communications, and private consulting. Sharing her practical experience in a broad range of industries and deployments, including IoT, customer intelligence, financial services, social media, and cybersecurity, Rosaria has authored 50+ technical publications, including her recent books Guide to Intelligent Data Science (Springer) and Codeless Deep Learning with KNIME (Packt).
Read more about Rosaria Silipo