Sanz / Ivan Pastor Sanz Machine Learning with R Quick Start Guide

A beginner's guide to implementing machine learning techniques from scratch using R 3.5
1. Auflage 2019
ISBN: 978-1-83864-705-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 250 Seiten

No detailed description available for "Machine Learning with R Quick Start Guide".

Autoren/Hrsg.

Sanz, Iván Pastor

Ivan Pastor Sanz, Sanz

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik Informatik Theoretische Informatik

Inhaltsverzeichnis

Table of Contents - R Fundamentals for Machine Learning
- Predicting Failures of Banks - Data Collection
- Predicting Failures of Banks - Descriptive Analysis
- Predicting Failures of Banks - Univariate Analysis
- Predicting the Failures of Banks - A Multivariate Analysis
- Visualizing Economic Problems in the European Union
- Sovereign Crisis - NLP and Topic Modeling

Über Autor(innen)

Sanz Iván Pastor:

Ivn Pastor Sanz is a lead data scientist and machine learning enthusiast with extensive experience in finance, risk management, and credit risk modeling. Ivn has always endeavored to find solutions to make banking more comprehensible, accessible, and fair. Thus, in his thesis to obtain his PhD in economics, Ivn tried to identify the origins of the 2008 financial crisis and suggest ways to avoid a similar crisis in the future.