Essays about: "Machine Learning"

Showing result 1 - 5 of 1689 essays containing the words Machine Learning.

  1. 1. Tidying up the factor zoo: Using machine learning to find sparse factor models that predict asset returns.

    University essay from Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Author : Oliver Klingberg Malmer; Gustav Pettersson; [2020-07-01]
    Keywords : Asset pricing; Factor models; Machine learning; PCA; LASSO; Variable selection; Dimension reduction; Fama French Three Factor model; Fama French Five Factor model;

    Abstract : There exist over 300 firm characteristics that provide significant information about average asset return. John Cochrane refers to this as a “factor zoo” and challenges researchers to find the independent characteristics which can explain average return. READ MORE

  2. 2. Cropland and tree cover mapping using Sentinel-2 data in an agroforestry landscape, Burkina Faso

    University essay from Göteborgs universitet/Institutionen för geovetenskaper

    Author : Ntandokazi Masimula; [2020-06-29]
    Keywords : Sentinel-2; Cropland mask; Tree cover estimation; Burkina Faso; Agroforestry; Random Forest;

    Abstract : Sentinel-2, with high spatial resolution bands and increased number of spectral channels,has provided increased capabilities for vegetation mapping. Cropland masks withinheterogeneous areas such as the Sudano-Sahel zone have become useful for monitoringlandscapes. READ MORE

  3. 3. Predicting Asset Prices with Machine Learning

    University essay from

    Author : Adam Eklund; Valter Trollius; [2020-06-29]
    Keywords : Machine learning; neural networks; OLS regression; asset pricing; financial forecasting; out-of-sample; predictability;

    Abstract : This study examines whether machine learning techniques such as neural networks contain predictability when modeling asset prices and if they can improve on asset pricing prediction compared to traditional OLS-regressions. This is analyzed through measuring and comparing the out-of-sample R2 to find each models’ predictive power. READ MORE

  4. 4. An exploratory machine learning workflow for the analysis of adverse events from clinical trials

    University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

    Author : Margareta Carlerös; [2020-06-26]
    Keywords : Machine learning; Adverse events; Clinical trials; Data mining;

    Abstract : A new pharmaceutical drug needs to be shown to be safe and effective before it canbe used to treat patients. Adverse events (AEs) are potential side-effects that arerecorded during clinical trials, in which a new drug is tested in humans, and mayor may not be related to the drug under study. READ MORE

  5. 5. Machine learning in the design phase of the construction

    University essay from Lunds universitet/Byggproduktion

    Author : Erik Hiekkala; [2020]
    Keywords : Machine learning; Data; Digitize; Construction industry; Technology and Engineering;

    Abstract : Machine learning has the potential to improve processes and revolutionizeeconomies on a global level and that is also true for the construction indus-try. Machine learning has started to get attention in recent years as computerpower have increased and the cost has reduced. READ MORE