Hands-On Machine Learning with Microsoft Excel 2019

Hands-On Machine Learning with Microsoft Excel 2019

作者: Rodriguez Martino Julio Cesar
出版社: Packt Publishing
出版在: 2019-04-30
ISBN-13: 9781789345377
ISBN-10: 1789345375
裝訂格式: Quality Paper - also called trade paper
總頁數: 254 頁





內容描述


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.




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