»TéléCHargEr. Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner Livre. par Morgan Kaufmann
novembre 10, 2022
Predictive analytics and data mining : concepts and practice with
You'll be able to: 1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source

| Titre | Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner |
| Classification | Dolby 192 kHz |
| Fichier | predictive-analytics_WU6ky.epub |
| predictive-analytics_kkXMS.mp3 | |
| Taille | 1,250 KB |
| Des pages | 131 Pages |
| Une longueur de temps | 53 min 55 seconds |

Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner
| Catégorie | Beaux livres, Érotisme, Tourisme et voyages |
| Auteur | Yann Martel |
| Éditeur | Kathryn Stockett, Frederick Bodmer |
| Publié | 2014-12-03 |
| Format | Livre audio, eBook Kindle |
Predictive Analytics and Data Mining: Concepts and Practice with
"Predictive analytics and insights has become the most critical skill-set in decision making and running the modern business. Predictive Analytics and Data Mining provides you the advanced concepts and practical implementation techniques to incorporate analytics in your business process. The two dozen data mining algorithms covered in this book forms the underpinnings of the field of business analytics that has transformed the way data is treated in business. So far, advanced analytics has
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Put Predictive Analytics into Action Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to
Predictive Analytics and Data Mining:Concepts and Practice with
Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source GUI based data mining
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Predictive analytics and data mining : concepts and practice with
You'll be able to: 1. Gain the necessary knowledge of different data mining techniques, so that you can select the right technique for a given data problem and create a general purpose analytics process. 2. Get up and running fast with more than two dozen commonly used powerful algorithms for predictive analytics using practical use cases. 3. Implement a simple step-by-step process for predicting an outcome or discovering hidden relationships from the data using RapidMiner, an open source
Predictive Analytics and Data Mining: Concepts and Practice with
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predictive analytics and data mining techniques covered: exploratory data analysis, visualization, decision trees, rule induction, k-nearest neighbors, naïve bayesian, artificial
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How to get Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner PDF?
Predictive Analytics and Data Mining: Concepts and Practice with
Learn the basics of Predictive Analysis and Data Mining through an easy to understand conceptual framework and immediately practice the concepts learned using the open source RapidMiner tool. Whether you are brand new to Data Mining or working on your tenth project, this book will show you how to analyze data, uncover hidden patterns and relationships to aid important decisions and predictions. Data Mining has become an essential tool for any enterprise that collects, stores and processes
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Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner is written by Kotu, Vijay; Deshpande, Bala and published by Morgan Kaufmann. The Digital and eTextbook ISBNs for Predictive Analytics and Data Mining: Concepts and Practice with RapidMiner are 9780128014608, 9780128016503, 0128016507 and the print ISBNs are 9780128014608, 0128014601. Save up to 80% versus print by
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