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Practical Machine Learning Illustrated with KNIME

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 v...

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Hlavní autoři: Geng, Yu (Autor), Li, Qin (Autor), Yang, Geng (Autor), Qiu, Wan (Autor)
Korporativní autor: SpringerLink (Online service)
Médium: Elektronický zdroj E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Nature Singapore : Imprint: Springer, 2024.
Vydání:1st ed. 2024.
Témata:
Machine learning.
Artificial intelligence > Data processing.
Machine Learning.
Data Science.
On-line přístup:https://doi.org/10.1007/978-981-97-3954-7
Tagy: Přidat tag
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Obsah:
  • Chapter 1 Overview of Artificial Intelligence and Machine Learning
  • Chapter 2　Basic Knowledge of Machine Learning
  • Chapter 3　Linear Regression
  • Chapter 4　Logistic Regression
  • Chapter 5　Model Optimization
  • Chapter 6 Support Vector Machine
  • Chapter 7 Decision Tree
  • Chapter 8　Understanding of Decision Tree
  • Chapter 9　Bayesian Analysis
  • Chapter 10　Deep Learning.

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