Machine Learning and its Applications

Machine Learning and its Applications

Wlodarczak, Peter

Taylor & Francis Ltd

11/2019

204

Dura

Inglês

9781138328228

15 a 20 dias

520

Descrição não disponível.
1.Introduction. 2. Machine Learning Basics. 3. Data Pre-Processing. 4. Feature Extraction. 5. Data Mining Algorithms. 6.Supervised Learning. 7. Clustering. 8. Semi-Supervised Learning. 9. Learning Techniques. 10. Association Rules. 11. DeepLearning. 12. Predictive Analytics. 13. Machine Learning Applications. 14. Ethical Considerations. 15. Future Development.
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White Cells;Multiple Linear Regression;Maximum Likelihood Approximation;Restricted Boltzmann Machines;Agglomerative Hierarchical Clustering Algorithm;Stochastic Gradient Descent;Dunn Index;Data Set;Semi-supervised Learning;Vice Versa;Machine Learning;Recurrent Neural Network;Semi-supervised Methods;Machine Learning Algorithms;DBN.;Unlabeled Data;SVM.;Silhouette Coefficient;Bias Variance Tradeoff;Convolutional Layer;Data Deduplication;Cart Algorithm;Machine Learning Scheme;AntiVirus Software;Deep Learning Architectures