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Full-Text Articles in Physical Sciences and Mathematics
Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang
Machine Learning For Stock Prediction Based On Fundamental Analysis, Yuxuan Huang
Electronic Thesis and Dissertation Repository
Application of machine learning for stock prediction is attracting a lot of attention in recent years. A large amount of research has been conducted in this area and multiple existing results have shown that machine learning methods could be successfully used toward stock predicting using stocks’ historical data. Most of these existing approaches have focused on short term prediction using stocks’ historical price and technical indicators. In this thesis, we prepared 22 years’ worth of stock quarterly financial data and investigated three machine learning algorithms: Feed-forward Neural Network (FNN), Random Forest (RF) and Adaptive Neural Fuzzy Inference System (ANFIS) for …
Applicability Of Recurrent Neural Networks To Player Data Analysis In Freemium Video Games, Jonathan Tan
Applicability Of Recurrent Neural Networks To Player Data Analysis In Freemium Video Games, Jonathan Tan
Electronic Thesis and Dissertation Repository
We demonstrate the applicability and practicality of recurrent neural networks (RNNs), a machine learning methodology suited for sequential data, on player data from the mobile video game My Singing Monsters. Since this data comes in as a stream of events, RNNs are a natural solution for analyzing this data with minimal preprocessing. We apply RNNs to monitor and forecast game metrics, predict player conversion, estimate lifetime player value, and cluster player behaviours. In each case, we discuss why the results are interesting, how the trained models can be applied in a business setting, and how the preliminary work can …