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Anglický jazyk
Fundamentals of Data Science Part III
Autor: Jared M. Maruskin
In Part III of this series, we cover the fundamentals of machine learning, focusing on:validation methodology (reprint) nearest neighbor, k-means, support vector machines, principal component analysis tree-based methods: decision trees, bagging, random forest,... Viac o knihe
Na objednávku, dodanie 2-4 týždne
66.69 €
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O knihe
In Part III of this series, we cover the fundamentals of machine learning, focusing on:validation methodology (reprint) nearest neighbor, k-means, support vector machines, principal component analysis tree-based methods: decision trees, bagging, random forest, boosting, XGBoost artificial neural networks and deep learning reinforcement learning The focus is on algorithmic development and programming. We code each technique from scratch in Python, using an object-oriented approach.
- Vydavateľstvo: Cayenne Canyon Press
- Rok vydania: 2022
- Formát: Paperback
- Rozmer: 234 x 156 mm
- Jazyk: Anglický jazyk
- ISBN: 9781941043134
Nemecký jazyk