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Fundamentals of Data Science Part III

Fundamentals of Data Science Part III

Jared M. Maruskin

53,35 €
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Editorial:
Cayenne Canyon Press
Año de edición:
2022
Materia
Probabilidad y estadística
ISBN:
9781941043134
53,35 €
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Sobre IBD

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 analysistree-based methods: decision trees, bagging, random forest, boosting, XGBoostartificial neural networks and deep learningreinforcement learningThe focus is on algorithmic development and programming. We code each technique from scratch in Python, using an object-oriented approach. 

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