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.
Add to Bookmark
Recommended Books For You
An Introduction to Statistical Learning with Applications in R
By : Gareth James • Daniela Witten • Trevor Hastie Robert Tibshirani
Prepare for Interview
- 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
- Multithreading and Multiprocessing in Python
- Context Managers in Python
- Decorators in Python
Tutorials
Follow us on Linkedin
Random Blogs
- Variable Assignment in Python
- Create Virtual Host for Nginx on Ubuntu (For Yii2 Basic & Advanced Templates)
- Datasets for Speech Recognition Analysis
- Understanding SQL vs MySQL vs PostgreSQL vs MS SQL vs Oracle and Other Popular Databases
- Big Data: The Future of Data-Driven Decision Making
- AI & Space Exploration – AI’s Role in Deep Space Missions and Planetary Research
- Types of Numbers in Python
- How to Become a Good Data Scientist ?
- Datasets for analyze in Tableau
- Python Challenging Programming Exercises Part 1
- Time Series Analysis on Air Passenger Data
- The Ultimate Guide to Data Science: Everything You Need to Know
- Downlaod Youtube Video in Any Format Using Python Pytube Library
- AI in Cybersecurity: The Future of Digital Protection
- Best Platform to Learn Digital Marketing in Free
- 5 Ways Use Jupyter Notebook Online Free of Cost
Datasets for Machine Learning
- 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
- Artificial Characters Dataset