Neural Networks in Finance
Book Details
| Author | Paul D. McNelis |
|---|---|
| Publisher | |
| Published Year | 2005 |
| Pages | 261 |
| Language | English |
| ISBN-10 | 0-12-485967-4 |
| ISBN-13 |
Neural Networks in Finance by Paul D. McNelis is a practical guide that explores how neural networks can be applied to financial data analysis and forecasting. The book blends theory with hands-on examples, showing how neural networks can be used for tasks such as risk management, option pricing, and financial market prediction. It is particularly useful for finance professionals and researchers who want to integrate advanced machine learning techniques into their quantitative models.
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
Tutorials
Follow us on Linkedin
Random Blogs
- How to Become a Good Data Scientist ?
- Generative AI - The Future of Artificial Intelligence
- Top 10 Knowledge for Machine Learning & Data Science Students
- Navigating AI Careers in 2025: Data Science, Machine Learning, Deep Learning, and More
- Loan Default Prediction Project Using Machine Learning
- OLTP vs. OLAP Databases: Advanced Insights and Query Optimization Techniques
- The Ultimate Guide to Starting a Career in Computer Vision
- AI in Marketing & Advertising: The Future of AI-Driven Strategies
- Understanding Data Lake, Data Warehouse, Data Mart, and Data Lakehouse – And Why We Need Them
- Role of Digital Marketing Services to Uplift Online business of Company and Beat Its Competitors
- Top 10 Blogs of Digital Marketing you Must Follow
- 5 Ways Use Jupyter Notebook Online Free of Cost
- 10 Awesome Data Science Blogs To Check Out
- Data Analytics: The Power of Data-Driven Decision Making
- The Beginner’s Guide to Normalization and Denormalization in Databases
- Best Platform to Learn Digital Marketing in Free
Datasets for Machine Learning
- Awesome-ChatGPT-Prompts
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset










