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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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Who this book is for

If you have always wanted to develop solutions based on deep learning networks but you have not wanted to invest the time in learning how to code, this book is for you. It teaches you the basics of the algorithms behind deep learning and how to practically and codelessly build, train, and evaluate deep learning networks. While a codeless tool reduces the entrance barrier considerably, the complexity behind deep learning networks remains. A math background is required to understand the data shaping and operations as well as the math behind the algorithms.

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Codeless Deep Learning with KNIME
Published in: Nov 2020Publisher: PacktISBN-13: 9781800566613

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