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Hands-on machine learning with Microsoft Excel 2019 : build complete data analysis flows, from data collection to visualization /
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 a...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
2019.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Martino, Julio Cesar Rodriguez, |e author. | |
| 245 | 1 | 0 | |a Hands-on machine learning with Microsoft Excel 2019 : |b build complete data analysis flows, from data collection to visualization / |c Julio Cesar Rodriguez Martino. |
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c 2019. | |
| 300 | |a 1 online resource (254 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 505 | 0 | |a Section 1: Machine Learning Basics -- Chapter 1: Implementing Machine Learning Algorithms -- Chapter 2: Hands-On Examples of Machine Learning Models -- Section 2: Data Collection and Preparation -- Chapter 3: Importing Data into Excel from Different Data Sources -- Chapter 4: Data Cleansing and Preliminary Data Analysis -- Chapter 5: Correlations and the Importance of Variables -- Section 3: Analytics and Machine Learning Models -- Chapter 6: Data Mining Models in Excel Hands-On Examples -- Chapter 7: Implementing Time Series -- Section 4: Data Visualization and Advanced Machine Learning -- Chapter 8: Visualizing Data in Diagrams, Histograms, and Maps -- Chapter 9: Artificial Neural Networks -- Chapter 10: Azure and Excel -- Machine Learning in the Cloud -- Chapter 11: The Future of Machine Learning | |
| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on February 28, 2020). | |
| 590 | |a Knovel |b ACADEMIC - Engineering Mgmt & leadership | ||
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| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Data mining. | |
| 650 | 2 | |a Data Mining | |
| 650 | 6 | |a Apprentissage automatique. | |
| 650 | 6 | |a Exploration de données (Informatique) | |
| 650 | 7 | |a Data mining. |2 fast |0 (OCoLC)fst00887946 | |
| 650 | 7 | |a Machine learning. |2 fast |0 (OCoLC)fst01004795 | |
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