Essays about: "statistics"
Showing result 16 - 20 of 2927 essays containing the word statistics.
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16. Stock Price Predictions for FAANG Companies Using Machine Learning Models
University essay from Lunds universitet/Statistiska institutionenAbstract : The financial industry is one of the highest grossing sectors in the world as it is estimated to represent 24\% of the global economy. As most companies want their asset value to increase, it is of high interest to make good investments which will increase in either the short or long run. READ MORE
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17. Automation of manual tasks at Statistics Sweden : Supervised machine learning as proof-of-concept
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Supervised machine learning is used to create a proof-of-concept for automation of manual tasks for Statistics Sweden. The goal of the first part is to classify occupations with an SSYK code using descriptions entered by the employee, the education level of the employee, and their industry. READ MORE
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18. Uncertainty Quantification in Deep Learning for Breast Cancer Classification in Point-of-Care Ultrasound Imaging
University essay from Lunds universitet/Matematik LTHAbstract : Breast cancer is the most common type of cancer worldwide with an estimate of 2.3 million new cases in 2020, and the number one cause of cancer-related deaths in women. READ MORE
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19. Tau-Leaping Implementations outside of chemistry
University essay from Lunds universitet/Statistiska institutionenAbstract : Tau-leaping is an algorithm for model simulations most often used in kinetic chemistry. It was created to make simulations more efficient at the cost of some accuracy. However, its uses outside of chemistry are limited but could help make some model simulations more efficient. READ MORE
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20. Virtual H&E Staining Using PLS Microscopy and Neural Networks
University essay from Lunds universitet/Matematik LTHAbstract : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. READ MORE