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Fundamentals of Data Science Part III: Machine Learning
Jared M. Maruskin
(Author)
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Cayenne Canyon Press
· Paperback
Fundamentals of Data Science Part III: Machine Learning - Maruskin, Jared M.
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Origin: U.S.A.
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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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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