Rodriguez Martino, Julio Cesar <br/><br/>
Hands-on machine learning with microsoft excel 2019   build complete data analysis flows, from data collection to visualization 

 - UK :  Packt  c2019 
 - 243 p. :  ill.  23 cm 
<br/><br/> First Published 2019 
<br/><br/>Includes index 
<br/><br/> 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. 
<br/><br/><label>ISBN: </label>9781789345377 
<br/><br/><label>Subjects--Topical Terms: </label><br/> Apprentissage automatique;  Data Mining; Electronic book
<br/><br/><label>Dewey Class. No.: </label>005.276  / ROD