Essays about: "Online learning algorithms"

Showing result 11 - 15 of 85 essays containing the words Online learning algorithms.

1. 11. Predicting future problem gamblers using Machine Learning Algorithms

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Priyadarshini Selvaraju; [2022]
   Keywords : ;

   Abstract : The work in this thesis attempts to identify potential gambling addicts inan online gambling website using machine learning models. Machine Learning can play a major role in predicting and identifying high-risk online players leading to self-exclusion and providing automated self- help tools to problem gamblers. READ MORE

3. 12. Predicting Stock Market Movement Using Machine Learning : Through r/wallstreetbets sentiment & Google Trends, Herding versus Wisdom of Crowds

   University essay from Uppsala universitet/Företagsekonomiska institutionen

   Author : Niklas Norinder; [2022]
   Keywords : Sentiment Analysis; Machine Learning; Stock Movement Prediction; r wallstreetbets; Google Trends;

   Abstract : Stock market analysis is a hot-button topic, especially with the growth of online communities surrounding trading and investment. The goal of this paper is to examine the sentiment of r/wallstreetbets and the Google Trends score for a number of stocks – and then understanding whether the herding nature of investors on r/wallstreetbets is better at predicting the movement of the stock market than the WOC nature of Google Trends scores. READ MORE

4. 13. Online Sample Selection for Resource Constrained Networked Systems

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Philip Sjösvärd; Samuel Miksits; [2022]
   Keywords : Online learning; Sample Selection; Real-time Learning; Random Forest; Reservoir Sampling; Relevance and Redundancy; Binned Distribution; Autoregressive Model; Change Detection; Model Re-computation;

   Abstract : As more devices with different service requirements become connected to networked systems, such as Internet of Things (IoT) devices, maintaining quality of service becomes increasingly difficult. Large data sets can be obtained ahead of time in networks to train prediction models offline, however, resulting in high computational costs. READ MORE

5. 14. Email classification using machine learning algorithms

   University essay from Uppsala universitet/Institutionen för materialvetenskap

   Author : Isak Jonsson; [2022]
   Keywords : Machine learning; artificial neural networks; email classification;

   Abstract : The goal of this project is to construct a machine learning algorithmthat improves over time. This was done by first constructing a datasetthat reflects real world messages, that would simulate receiving emailsfrom two different sources. The data set was constructed by combiningdata from two different online forums. READ MORE

6. 15. GROCERY PRODUCT RECOMMENDATIONS : USING RANDOM INDEXING AND COLLABORATIVE FILTERING

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Axel Orrenius; Axel Wiebe Werner; [2022]
   Keywords : Alternating Least Squares; Collaborative Filtering; Machine Learning; Random Indexing; Rapid-Delivery; Product Recommendations;

   Abstract : The field of personalized product recommendation systems has seen tremendous growth in recent years. The usefulness of the algorithms’ abilities to filter out data from vast sets has been shown to be crucial in today’s information-heavy online experience. READ MORE