Statistical modeling in machine learning : concepts and applications / edited by Tilottama Goswami, Ganesh R. Sinha.

Format:

Book

Contributor:

Goswami, Tilottama, editor.

Sinha, G. R., 1975- editor.

ScienceDirect (Online service)

Language:

English

Subjects (All):

Machine learning--Statistical methods.

Machine learning.

Physical Description:

1 online resource

Place of Publication:

Amsterdam : Academic Press, 2022.

Contents:

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

Notes:

Electronic reproduction. Amsterdam Available via World Wide Web.

Other Format:

Print version:

ISBN:

9780323972529

0323972527

Publisher Number:

99993768174

Access Restriction:

Restricted for use by site license.