Data Science and Data Analytics
portes grátis
Data Science and Data Analytics
Opportunities and Challenges
Tyagi, Amit Kumar
Taylor & Francis Ltd
10/2024
464
Mole
9780367628888
Pré-lançamento - envio 15 a 20 dias após a sua edição
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Section I: Introduction about Data Science and Data Analytics 1. Data Science and Data Analytics: Arti?cial Intelligence and Machine Learning Integrated Based Approach 2. IoT Analytics/Data Science for IoT 3. A Model to Identify Agriculture Production Using Data Science Techniques 4. Identi?cation and Classi?cation of Paddy Crop Diseases Using Big Data Machine Learning Techniques Section II Algorithms, Methods, and Tools for Data Science and Data Analytics 5. Crop Models and Decision Support Systems Using Machine Learning 6. An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest 7. High Dimensionality Dataset Reduction Methodologies in Applied Machine Learning 8. Hybrid Cellular Automata Models for Discrete Dynamical Systems 9. An Ef?cient Imputation Strategy Based on Adaptive Filter for Large Missing Value Datasets 10. An Analysis of Derivative-Based Optimizers on Deep Neural Network Models Section III: Applications of Data Science and Data Analytics 11. Wheat Rust Disease Detection Using Deep Learning 12. A Novel Data Analytics and Machine Learning Model towards Prediction and Classi?cation of Chronic Obstructive Pulmonary Disease 13. A Novel Multimodal Risk Disease Prediction of Coronavirus by Using Hierarchical LSTM Methods 14. A Tier-based Educational Analytics Framework 15. Breast Invasive Ductal Carcinoma Classi?cation Based on Deep Transfer Learning Models with Histopathology Images 16. Prediction of Acoustic Performance Using Machine Learning Techniques Section IV: Issue and Challenges in Data Science and Data Analytics 17. Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic Algorithm and Arti?cial Bee Colony 18. Algorithmic Trading Using Trend Following Strategy: Evidence from Indian Information Technology Stocks 19. A Novel Data Science Approach for Business and Decision Making for Prediction of Stock Market Movement Using Twitter Data and News Sentiments 20. Churn Prediction in Banking the Sector 21. Machine and Deep Learning Techniques for Internet of Things Based Cloud Systems Section V: Future Research Opportunities towards Data Science and Data Analytics 22. Dialect Identi?cation of the Bengali Language 23. Real-Time Security Using Computer Vision 24. Data Analytics for Detecting DDoS Attacks in Network Traf?c 25. Detection of Patterns in Attributed Graph Using Graph Mining 26. Analysis and Prediction of the Update of Mobile Android Version
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Cellular Automata;RF;SVM;Ml Algorithm;Supervised Machine Learning;RGB Image;IoT Security;IoT Device;DNN Model;DNN;Deep Learning Algorithms;Max Pooling Layer;Dimensionality Reduction Algorithms;Learning Rate;IoT Framework;News Sentiment;MFCC;Artificial Neural Network Models;ADAM;Convolution Layers;Machine Learning;Pre-trained Model;HSI;Sentiment Score;Missing Values
Section I: Introduction about Data Science and Data Analytics 1. Data Science and Data Analytics: Arti?cial Intelligence and Machine Learning Integrated Based Approach 2. IoT Analytics/Data Science for IoT 3. A Model to Identify Agriculture Production Using Data Science Techniques 4. Identi?cation and Classi?cation of Paddy Crop Diseases Using Big Data Machine Learning Techniques Section II Algorithms, Methods, and Tools for Data Science and Data Analytics 5. Crop Models and Decision Support Systems Using Machine Learning 6. An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest 7. High Dimensionality Dataset Reduction Methodologies in Applied Machine Learning 8. Hybrid Cellular Automata Models for Discrete Dynamical Systems 9. An Ef?cient Imputation Strategy Based on Adaptive Filter for Large Missing Value Datasets 10. An Analysis of Derivative-Based Optimizers on Deep Neural Network Models Section III: Applications of Data Science and Data Analytics 11. Wheat Rust Disease Detection Using Deep Learning 12. A Novel Data Analytics and Machine Learning Model towards Prediction and Classi?cation of Chronic Obstructive Pulmonary Disease 13. A Novel Multimodal Risk Disease Prediction of Coronavirus by Using Hierarchical LSTM Methods 14. A Tier-based Educational Analytics Framework 15. Breast Invasive Ductal Carcinoma Classi?cation Based on Deep Transfer Learning Models with Histopathology Images 16. Prediction of Acoustic Performance Using Machine Learning Techniques Section IV: Issue and Challenges in Data Science and Data Analytics 17. Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic Algorithm and Arti?cial Bee Colony 18. Algorithmic Trading Using Trend Following Strategy: Evidence from Indian Information Technology Stocks 19. A Novel Data Science Approach for Business and Decision Making for Prediction of Stock Market Movement Using Twitter Data and News Sentiments 20. Churn Prediction in Banking the Sector 21. Machine and Deep Learning Techniques for Internet of Things Based Cloud Systems Section V: Future Research Opportunities towards Data Science and Data Analytics 22. Dialect Identi?cation of the Bengali Language 23. Real-Time Security Using Computer Vision 24. Data Analytics for Detecting DDoS Attacks in Network Traf?c 25. Detection of Patterns in Attributed Graph Using Graph Mining 26. Analysis and Prediction of the Update of Mobile Android Version
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Cellular Automata;RF;SVM;Ml Algorithm;Supervised Machine Learning;RGB Image;IoT Security;IoT Device;DNN Model;DNN;Deep Learning Algorithms;Max Pooling Layer;Dimensionality Reduction Algorithms;Learning Rate;IoT Framework;News Sentiment;MFCC;Artificial Neural Network Models;ADAM;Convolution Layers;Machine Learning;Pre-trained Model;HSI;Sentiment Score;Missing Values
