Statistical Modeling in Machine Learning
-10%
portes grátis
Statistical Modeling in Machine Learning
Concepts and Applications
Sinha, G. R.; Goswami, Tilottama
Elsevier Science & Technology
11/2022
396
Mole
Inglês
9780323917766
15 a 20 dias
Descrição não disponível.
1. Introduction to Statistical Modelling in Machine Learning - A Case Study
2. A Technique of Data Collection- Web Scraping with Python
3. Analysis of Covid-19 using Machine Learning Techniques
4. Discriminative Dictionary Learning based on Statistical Methods
5. Artificial Intelligence based Uncertainty Quantification technique for External flow CFD simulations
6. Music Genres Classification
7. Classification Model of Machine Learning for Medical Data Analysis
8. Regression Models for Machine learning
9. Model Selection and Regularization
10. Data Clustering using Unsupervised Machine Learning
11. Emotion-based classification through fuzzy entropy enhanced FCM clustering
12. Fundamental Optimization Methods for Machine Learning
13. Stochastic Optimization of Industrial Grinding Operation through Data-Driven Robust Optimization
14. Dimensionality Reduction using PCAs in Feature Partitioning Framework
15. Impact of Mid-Day Meal Scheme in Primary Schools in India using Exploratory Data Analysis and Data Visualisation
16. Nonlinear System Identification of Environmental pollutants using Recurrent Neural Networks and Global Sensitivity Analysis
17. Comparative Study of Automated Deep Learning Techniques for Wind Time Series Forecasting
2. A Technique of Data Collection- Web Scraping with Python
3. Analysis of Covid-19 using Machine Learning Techniques
4. Discriminative Dictionary Learning based on Statistical Methods
5. Artificial Intelligence based Uncertainty Quantification technique for External flow CFD simulations
6. Music Genres Classification
7. Classification Model of Machine Learning for Medical Data Analysis
8. Regression Models for Machine learning
9. Model Selection and Regularization
10. Data Clustering using Unsupervised Machine Learning
11. Emotion-based classification through fuzzy entropy enhanced FCM clustering
12. Fundamental Optimization Methods for Machine Learning
13. Stochastic Optimization of Industrial Grinding Operation through Data-Driven Robust Optimization
14. Dimensionality Reduction using PCAs in Feature Partitioning Framework
15. Impact of Mid-Day Meal Scheme in Primary Schools in India using Exploratory Data Analysis and Data Visualisation
16. Nonlinear System Identification of Environmental pollutants using Recurrent Neural Networks and Global Sensitivity Analysis
17. Comparative Study of Automated Deep Learning Techniques for Wind Time Series Forecasting
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
ANN; ANOVA; Artificial intelligence; Artificial neural networks; Artificialintelligence; Audio signal processing; Automated Machine learning; BeautifulSoup; Big data; Cauchy prior; CFD; Classification problems; Cluster quality; Clustering; Coronavirus infection 2019 (Covid-2019)Decision tree classifier; Data mining; Data preprocessing; Data science; Data-driven sampling; Deep clustering; Deep learning; Derivative-free optimization; Dictionary learning; Dimensionality reduction; Discriminative dictionary; Entropy; Evolutionary algorithms; EwFCM; Face recognition; FCM; Feature partitioning; Feature selection; Fuzzy clustering; Fuzzy entropy; Gaussian prior; Global sensitivity analysis; Gradient descent; Hidden Markov model; High dimension; Hybrid dictionary learning; Hyperparameter optimization; Hypothesis test; Industrial grinding circuit; K-nearest neighbors (KNN)Linear discriminant analysis (LDA)Machine learning; Logistic regression; LSTMs; Machine learning; Malnutrition; Missile design; MLR; Model selection; Multiobjective optimization under uncertainty; Multiple regression; Music classification; Neural networks (NN)Quadratic discriminant analysis (QDA)Statistics; Newton's method; NSGA-II; Nutrition; OLS; Optimization methods; Partial least square; Particulate matter; PCA; Ploynomial regression; Principal Component Analysis; Prison overcrowding; Python; Random forest regressor; RBFNN; Ridge and Lasso Regression; RNNs; Robust optimization; Sentiment analysis; SLR; Social science; Sparse representation; Statistical analysis; Statistical modeling; Stochastic gradient descent; Support vector machine; SVM; Time-series decomposition and modeling; Time-series forecasting; Twitter; Uncertainty quantification; Uncertainty sets; Unsupervised learning (USL)Variable Selection; Visualization plots; Web scraping
1. Introduction to Statistical Modelling in Machine Learning - A Case Study
2. A Technique of Data Collection- Web Scraping with Python
3. Analysis of Covid-19 using Machine Learning Techniques
4. Discriminative Dictionary Learning based on Statistical Methods
5. Artificial Intelligence based Uncertainty Quantification technique for External flow CFD simulations
6. Music Genres Classification
7. Classification Model of Machine Learning for Medical Data Analysis
8. Regression Models for Machine learning
9. Model Selection and Regularization
10. Data Clustering using Unsupervised Machine Learning
11. Emotion-based classification through fuzzy entropy enhanced FCM clustering
12. Fundamental Optimization Methods for Machine Learning
13. Stochastic Optimization of Industrial Grinding Operation through Data-Driven Robust Optimization
14. Dimensionality Reduction using PCAs in Feature Partitioning Framework
15. Impact of Mid-Day Meal Scheme in Primary Schools in India using Exploratory Data Analysis and Data Visualisation
16. Nonlinear System Identification of Environmental pollutants using Recurrent Neural Networks and Global Sensitivity Analysis
17. Comparative Study of Automated Deep Learning Techniques for Wind Time Series Forecasting
2. A Technique of Data Collection- Web Scraping with Python
3. Analysis of Covid-19 using Machine Learning Techniques
4. Discriminative Dictionary Learning based on Statistical Methods
5. Artificial Intelligence based Uncertainty Quantification technique for External flow CFD simulations
6. Music Genres Classification
7. Classification Model of Machine Learning for Medical Data Analysis
8. Regression Models for Machine learning
9. Model Selection and Regularization
10. Data Clustering using Unsupervised Machine Learning
11. Emotion-based classification through fuzzy entropy enhanced FCM clustering
12. Fundamental Optimization Methods for Machine Learning
13. Stochastic Optimization of Industrial Grinding Operation through Data-Driven Robust Optimization
14. Dimensionality Reduction using PCAs in Feature Partitioning Framework
15. Impact of Mid-Day Meal Scheme in Primary Schools in India using Exploratory Data Analysis and Data Visualisation
16. Nonlinear System Identification of Environmental pollutants using Recurrent Neural Networks and Global Sensitivity Analysis
17. Comparative Study of Automated Deep Learning Techniques for Wind Time Series Forecasting
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
ANN; ANOVA; Artificial intelligence; Artificial neural networks; Artificialintelligence; Audio signal processing; Automated Machine learning; BeautifulSoup; Big data; Cauchy prior; CFD; Classification problems; Cluster quality; Clustering; Coronavirus infection 2019 (Covid-2019)Decision tree classifier; Data mining; Data preprocessing; Data science; Data-driven sampling; Deep clustering; Deep learning; Derivative-free optimization; Dictionary learning; Dimensionality reduction; Discriminative dictionary; Entropy; Evolutionary algorithms; EwFCM; Face recognition; FCM; Feature partitioning; Feature selection; Fuzzy clustering; Fuzzy entropy; Gaussian prior; Global sensitivity analysis; Gradient descent; Hidden Markov model; High dimension; Hybrid dictionary learning; Hyperparameter optimization; Hypothesis test; Industrial grinding circuit; K-nearest neighbors (KNN)Linear discriminant analysis (LDA)Machine learning; Logistic regression; LSTMs; Machine learning; Malnutrition; Missile design; MLR; Model selection; Multiobjective optimization under uncertainty; Multiple regression; Music classification; Neural networks (NN)Quadratic discriminant analysis (QDA)Statistics; Newton's method; NSGA-II; Nutrition; OLS; Optimization methods; Partial least square; Particulate matter; PCA; Ploynomial regression; Principal Component Analysis; Prison overcrowding; Python; Random forest regressor; RBFNN; Ridge and Lasso Regression; RNNs; Robust optimization; Sentiment analysis; SLR; Social science; Sparse representation; Statistical analysis; Statistical modeling; Stochastic gradient descent; Support vector machine; SVM; Time-series decomposition and modeling; Time-series forecasting; Twitter; Uncertainty quantification; Uncertainty sets; Unsupervised learning (USL)Variable Selection; Visualization plots; Web scraping
