Hands-On Machine Learning with Microsoft Excel 2019

We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel.

The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed.

At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning.

Type
ebook
Category
Data
publication date
2019-04-30
what you will learn

Use Excel to preview and cleanse datasets
Understand correlations between variables and optimize the input to machine learning models
Use and evaluate different machine learning models from Excel
Understand the use of different visualizations
Learn the basic concepts and calculations to understand how artificial neural networks work
Learn how to connect Excel to the Microsoft Azure cloud
Get beyond proof of concepts and build fully functional data analysis flows

no of pages
254
duration
508
key features
Use Microsoft's product Excel to build advanced forecasting models using varied examples * Cover range of machine learning tasks such as data mining, data analytics, smart visualization, and more * Derive data-driven techniques using Excel plugins and APIs without much code required *
approach
The reader will understand and learn several alternatives to take Excel to the next level and use it as a platform to do professional data analysis and visualizations.
audience
This book is for data analysis, machine learning enthusiasts, project managers, and someone who doesn't want to code much for performing core tasks of machine learning. Each example will help you perform end-to-end smart analytics. Working knowledge of Excel is required.
meta description
A practical guide to getting the most out of Excel, using it for data preparation, applying machine learning models (including cloud services) and understanding the outcome of the data analysis.
short description
Machine learning has become a core necessity for every business and organization. With this book, you will learn to analyze your Excel data to search for patterns and return a series of interesting facts or trends about the data. You will learn to perform machine learning tasks using Excel plugins and APIs without much code required.
subtitle
Build complete data analysis flows, from data collection to visualization
keywords
machine learning
Product ISBN
9781789345377