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portada Fundamentals of Data Science Part III: Machine Learning
Type
Physical Book
Language
English
Pages
316
Format
Paperback
Dimensions
23.4 x 15.6 x 1.7 cm
Weight
0.44 kg.
ISBN13
9781941043134

Fundamentals of Data Science Part III: Machine Learning

Jared M. Maruskin (Author) · Cayenne Canyon Press · Paperback

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

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Synopsis "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.

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