Martino Hands-On Machine Learning with Microsoft Excel 2019

Build complete data analysis flows, from data collection to visualization
1. Auflage 2019
ISBN: 978-1-78934-512-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 254 Seiten

No detailed description available for "Hands-On Machine Learning with Microsoft Excel 2019".

Autoren/Hrsg.

Martino, Julio Cesar Rodriguez

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz

Inhaltsverzeichnis

Table of Contents - Implementing Machine Learning Algorithms
- Hands-on examples of machine learning models
- Importing Data into Excel from Different Data Sources
- Data cleansing and preliminary data analysis
- Correlations and the Importance of Variables
- Data Mining Models in Excel Hands-On Examples
- Implementing Time Series

- Visualizing data in diagrams, histograms, and maps
- Artificial Neural Networks
- Azure and Excel - Machine Learning in the Cloud
- The future of Machine Learning

Über Autor(innen)

Martino Julio Cesar Rodriguez:

Julio Cesar Rodriguez Martino is a machine learning (ML) and artificial intelligence (AI) platform architect, focusing on applying the latest techniques and models in these fields to optimize, automate, and improve the work of tax and accounting consultants. The main tool used in this practice is the MS Office platform, which Azure services complement perfectly by adding intelligence to the different tasks. Julio's background is in experimental physics, where he learned and applied advanced statistical and data analysis methods. He also teaches university courses and provides in-company training on machine learning and analytics, and has a lot of experience leading data science teams.