Machine learning for finance : beginner’s guide to explore machine learning in banking and finance /
Singla, Saurav,
Machine learning for finance : beginner’s guide to explore machine learning in banking and finance / Saurav Singla. - 1st edition. - 240 pages : illustrations ; 24 cm.
Includes bibliographical references.
1. Introduction ‡ 2. Naïve Bayes, Normal Distribution & Clustering ‡ 3. Machine Learning for Data Structuring ‡ 4. Parsing Data Using NLP ‡ 5. Computer Vision ‡ 6. Neural Networks, GBM & Gradient Descent ‡ 7. Sequence Modeling ‡ 8. Reinforcement Learning for Financial Markets ‡ 9. Finance Use Cases ‡ 10. Impact of Machine Learning on Fintech ‡ 11. Machine Learning in Finance ‡ 12. e‑KYC & Anti‑Fraud Policy ‡ 13. Data Mining & Visualization ‡ 14. Advantages & Disadvantages of ML ‡ 15. Applications in Other Industries ‡ 16. Ethical Considerations in AI ‡ 17. AI in Banking ‡ 18. Common ML Algorithms ‡ 19. Frequently Asked Questions.
A practical introduction to machine learning applications in the financial sector, covering algorithms, NLP, computer vision, reinforcement learning, ethics, and real-world finance use cases.([turn0search2])([turn0search8])
9789389328622
Machine learning--Applications.
Financial services--Data processing.
658.404 / S.S.M
Machine learning for finance : beginner’s guide to explore machine learning in banking and finance / Saurav Singla. - 1st edition. - 240 pages : illustrations ; 24 cm.
Includes bibliographical references.
1. Introduction ‡ 2. Naïve Bayes, Normal Distribution & Clustering ‡ 3. Machine Learning for Data Structuring ‡ 4. Parsing Data Using NLP ‡ 5. Computer Vision ‡ 6. Neural Networks, GBM & Gradient Descent ‡ 7. Sequence Modeling ‡ 8. Reinforcement Learning for Financial Markets ‡ 9. Finance Use Cases ‡ 10. Impact of Machine Learning on Fintech ‡ 11. Machine Learning in Finance ‡ 12. e‑KYC & Anti‑Fraud Policy ‡ 13. Data Mining & Visualization ‡ 14. Advantages & Disadvantages of ML ‡ 15. Applications in Other Industries ‡ 16. Ethical Considerations in AI ‡ 17. AI in Banking ‡ 18. Common ML Algorithms ‡ 19. Frequently Asked Questions.
A practical introduction to machine learning applications in the financial sector, covering algorithms, NLP, computer vision, reinforcement learning, ethics, and real-world finance use cases.([turn0search2])([turn0search8])
9789389328622
Machine learning--Applications.
Financial services--Data processing.
658.404 / S.S.M