Fr. 106.80

Jared M. Maruskin

Fundamentals of Data Science Part III - Machine Learning

English · Paperback / Softback

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Description

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.

Product details

Authors	Jared M. Maruskin
Publisher	Cayenne Canyon Press

Languages	English
Product format	Paperback / Softback
Released	30.04.2022

EAN	9781941043134
ISBN	978-1-941043-13-4
No. of pages	316
Dimensions	156 mm x 234 mm x 17 mm
Weight	483 g
Subject	Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks

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