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Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data.
You'll be able to:
- Gain the necessary knowledge of different data science techniques to extract value from data.
- Master the concepts and inner workings of 30 commonly used powerful data science algorithms.
- Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform
Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more...
Data Science has become an essential tool to extract value from data for any organization that collects, stores and processes data as part of its operations. This book is ideal for business users, data analysts, business analysts, engineers, and analytics professionals and for anyone who works with data.
You'll be able to:
- Gain the necessary knowledge of different data science techniques to extract value from data.
- Master the concepts and inner workings of 30 commonly used powerful data science algorithms.
- Implement step-by-step data science process using using RapidMiner, an open source GUI based data science platform
Data Science techniques covered: Exploratory data analysis, Visualization, Decision trees, Rule induction, k-nearest neighbors, Naïve Bayesian classifiers, Artificial neural networks, Deep learning, Support vector machines, Ensemble models, Random forests, Regression, Recommendation engines, Association analysis, K-Means and Density based clustering, Self organizing maps, Text mining, Time series forecasting, Anomaly detection, Feature selection and more...
2. Data Science Process
3. Data Exploration
4. Classification
5. Deep Learning
6. Regression Methods
7. Association Analysis
8. Recommendation Engines
9. Clustering
10. Text Mining (renamed to: Natural Language Processing)
11. Time Series Forecasting
12. Anomaly Detection
13. Feature Selection
14. Model Evaluation
15. Efficient Model Execution
16. Getting Started with RapidMiner
| Erscheinungsjahr: | 2019 |
|---|---|
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780128147610 |
| ISBN-10: | 012814761X |
| Sprache: | Englisch |
| Herstellernummer: | C2017-0-02113-4 |
| Autor: |
Kotu, Vijay
Deshpande, Bala |
| Auflage: | 2. Aufl. |
| Hersteller: | Elsevier Science & Technology |
| Verantwortliche Person für die EU: | Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, D-99095 Erfurt, produktsicherheit@zeitfracht.de |
| Maße: | 26 x 191 x 235 mm |
| Von/Mit: | Vijay Kotu (u. a.) |
| Erscheinungsdatum: | 03.12.2018 |
| Gewicht: | 1,09 kg |
2. Data Science Process
3. Data Exploration
4. Classification
5. Deep Learning
6. Regression Methods
7. Association Analysis
8. Recommendation Engines
9. Clustering
10. Text Mining (renamed to: Natural Language Processing)
11. Time Series Forecasting
12. Anomaly Detection
13. Feature Selection
14. Model Evaluation
15. Efficient Model Execution
16. Getting Started with RapidMiner
| Erscheinungsjahr: | 2019 |
|---|---|
| Medium: | Taschenbuch |
| Inhalt: | Kartoniert / Broschiert |
| ISBN-13: | 9780128147610 |
| ISBN-10: | 012814761X |
| Sprache: | Englisch |
| Herstellernummer: | C2017-0-02113-4 |
| Autor: |
Kotu, Vijay
Deshpande, Bala |
| Auflage: | 2. Aufl. |
| Hersteller: | Elsevier Science & Technology |
| Verantwortliche Person für die EU: | Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, D-99095 Erfurt, produktsicherheit@zeitfracht.de |
| Maße: | 26 x 191 x 235 mm |
| Von/Mit: | Vijay Kotu (u. a.) |
| Erscheinungsdatum: | 03.12.2018 |
| Gewicht: | 1,09 kg |
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