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

About the Author

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.