Essentials of Machine Learning in Finance and Accounting
portes grátis
Essentials of Machine Learning in Finance and Accounting
Hajek, Petr; Hassan, M. Kabir; Abedin, Mohammad Zoynul; Uddin, Mohammed Mohi
Taylor & Francis Ltd
06/2021
234
Dura
Inglês
9780367480837
15 a 20 dias
640
Descrição não disponível.
1. Machine Learning in Finance and Accounting 2. Decision Trees and Random Forests 3. Improving Longevity Risk Management through Machine Learning 4. Kernel Switching Ridge Regression in Business Intelligence 5. Predicting Stock Return Volatility using Sentiment Analysis of Corporate Annual Reports 6. Random Projection Methods in Economics and Finance 7. The Future of Cloud Computing in Financial Services: A Machine Learning and Artificial Intelligence Perspective 8. Prospects and Challenges of Using Artificial Intelligence in Audit Process 9. Web Usage Analysis: Pillar 3 Information Assessment in Turbulent Times 10. Machine Learning in the Fields of Accounting, Economics and Finance: The Emergence of New Strategies 11. Handling Class Imbalance Data in Business Domain 12. Artificial Intelligence (AI) in Recruiting Talents Recruiters' Intention and Actual Use of AI
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Random Forests;Lee Carter Model;Computational Finance;KRR;Classification Algorithms;Ml Method;Supervised Learning;Stock Return Volatility;Unsupervised Learning;Minority Class Examples;Pattern Recognition;UTAUT Model;Corporate bankruptcy prediction;Ml Algorithm;Financial risk management;SVM;Machine learning;Frequent Itemsets;Portfolio management;RP;Stock price prediction;Roc Curve;Partial Dependence Plot;Cee Country;Data Imbalance Problem;SVR;Sgd Algorithm;Random Oversampling;Stochastic Mortality Models;Ridge Regression;Positive Definite Kernel;Precision Recall Curve;Supervised Machine Learning;Longevity Risk;Hr Professional
1. Machine Learning in Finance and Accounting 2. Decision Trees and Random Forests 3. Improving Longevity Risk Management through Machine Learning 4. Kernel Switching Ridge Regression in Business Intelligence 5. Predicting Stock Return Volatility using Sentiment Analysis of Corporate Annual Reports 6. Random Projection Methods in Economics and Finance 7. The Future of Cloud Computing in Financial Services: A Machine Learning and Artificial Intelligence Perspective 8. Prospects and Challenges of Using Artificial Intelligence in Audit Process 9. Web Usage Analysis: Pillar 3 Information Assessment in Turbulent Times 10. Machine Learning in the Fields of Accounting, Economics and Finance: The Emergence of New Strategies 11. Handling Class Imbalance Data in Business Domain 12. Artificial Intelligence (AI) in Recruiting Talents Recruiters' Intention and Actual Use of AI
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Random Forests;Lee Carter Model;Computational Finance;KRR;Classification Algorithms;Ml Method;Supervised Learning;Stock Return Volatility;Unsupervised Learning;Minority Class Examples;Pattern Recognition;UTAUT Model;Corporate bankruptcy prediction;Ml Algorithm;Financial risk management;SVM;Machine learning;Frequent Itemsets;Portfolio management;RP;Stock price prediction;Roc Curve;Partial Dependence Plot;Cee Country;Data Imbalance Problem;SVR;Sgd Algorithm;Random Oversampling;Stochastic Mortality Models;Ridge Regression;Positive Definite Kernel;Precision Recall Curve;Supervised Machine Learning;Longevity Risk;Hr Professional
