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Statistical modeling in machine learning : concepts and applications /
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Amsterdam :
Academic Press,
2022.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 1. Introduction to Statistical Modelling in Machine Learning
- A Case Study<br>2. A Technique of Data Collection- Web Scraping with Python<br>3. Analysis of Covid-19 using Machine Learning Techniques<br>4. Discriminative Dictionary Learning based on Statistical Methods<br>5. Artificial Intelligence based Uncertainty Quantification technique for External flow CFD simulations<br>6. Music Genres Classification<br>7. Classification Model of Machine Learning for Medical Data Analysis <br>8. Regression Models for Machine learning<br>9. Model Selection and Regularization<br>10. Data Clustering using Unsupervised Machine Learning<br>11. Emotion-based classification through fuzzy entropy enhanced FCM clustering<br>12. Fundamental Optimization Methods for Machine Learning<br>13. Stochastic Optimization of Industrial Grinding Operation through Data-Driven Robust Optimization<br>14. Dimensionality Reduction using PCAs in Feature Partitioning Framework<br>15. Impact of Mid-Day Meal Scheme in Primary Schools in India using Exploratory Data Analysis and Data Visualisation<br>16. Nonlinear System Identification of Environmental pollutants using Recurrent Neural Networks and Global Sensitivity Analysis<br>17. Comparative Study of Automated Deep Learning Techniques for Wind Time Series Forecasting