Sökning: "maskininlärning regression"
Visar resultat 6 - 10 av 269 uppsatser innehållade orden maskininlärning regression.
6. A Predictive Analysis of Customer Churn
Kandidat-uppsats, KTH/Matematisk statistikSammanfattning : Churn refers to the discontinuation of a contract; consequently, customer churn occurs when existing customers stop being customers. Predicting customer churn is a challenging task in customer retention, but with the advancements made in the field of artificial intelligence and machine learning, the feasibility to predict customer churn has increased. LÄS MER
7. Regression with Bayesian Confidence Propagating Neural Networks
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Bayesian Confidence Propagating Neural Networks (BCPNNs) are biologically inspired artificial neural networks. These networks have been modeled to account for brain-like aspects such as modular architecture, divisive normalization, sparse connectivity, and Hebbian learning. LÄS MER
8. Risk Stratification of Endometriosis through Machine Learning using Lifestyle Data : An Extensive Analysis on Lifestyle Data to Reveal Patterns in People with Endometriosis
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Endometriosis affect 11% of women of reproductive years worldwide. The project made use of lifestyle factors coming from the Lucy application. LÄS MER
9. Building Predictive Models for Stock Market Performance : En studie om maskininlärning och deras prestanda
Kandidat-uppsats, Uppsala universitet/Institutionen för informatik och mediaSammanfattning : Today it is important for investors to identify which stocks that will result in positive returns in order for the right decision to be made when trading on the stock market. For decades it has been an area of interest for academics, and it is still challenging due to many difficulties and problems. LÄS MER
10. Data Driven Modeling for Aerodynamic Coefficients
Master-uppsats, KTH/Matematisk statistikSammanfattning : Accurately modeling aerodynamic forces and moments are crucial for understanding thebehavior of an aircraft when performing various maneuvers at different flight conditions.However, this task is challenging due to complex nonlinear dependencies on manydifferent parameters. LÄS MER