Libro Fundamentals of Data Science Part III: Machine Learning De Maruskin, Jared M.

portada Fundamentals of Data Science Part III: Machine Learning

Formato

Libro Físico

Autor

Jared M. Maruskin

Editorial

Cayenne Canyon Press

Idioma

Inglés

N° páginas

316

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.7 cm

Peso

0.44 kg.

ISBN13

9781941043134

Categorías

Probabilidad y estadística
Machine learning: aprendizaje automático

Fundamentals of Data Science Part III: Machine Learning

Jared M. Maruskin (Autor) · Cayenne Canyon Press · Tapa Blanda

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Reseña del libro "Fundamentals of Data Science Part III: Machine Learning"

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.