Stock picking with machine learning
In recent years, deep learning models based on neural networks have revolutionized the field of artificial intelligence. Unlike traditional machine learning approaches, deep learning models extract intricate features from raw data and perform end-to-end predictions, minimizing manual intervention an...
Saved in:
Main Author: | Zhu, Bangyuan |
---|---|
Other Authors: | Wang Lipo |
Format: | Final Year Project |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/176936 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Prediction of stock price direction with machine learning models
by: Kant Kaw Khin
Published: (2024) -
Impact of artificial intelligence, robotics, and machine learning on sales and marketing
by: SIAU, Keng, et al.
Published: (2017) -
Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review
by: Ong, Wilson, et al.
Published: (2023) -
The Intelligent project: A machine learning algorithm approach to stock market prediction
by: Chua, Ashlee Loraine L., et al.
Published: (2016) -
Machine learning prediction of stock price behavior in SGX
by: Pan, Sun Wei
Published: (2021)