Essays about: "Retail Learning"

Showing result 21 - 25 of 46 essays containing the words Retail Learning.

  1. 21. Machine Learning Based Prediction and Classification for Uplift Modeling

    University essay from KTH/Matematisk statistik

    Author : Lovisa Börthas; Jessica Krange Sjölander; [2020]
    Keywords : Uplift Modeling; Data Pre-Processing; Predictive Modeling; Incremental Modeling; Random Forests; Logistic Regression; Neural Networks; Ensemble Methods; Machine Learning; Multi-Layer Perceptron; Inkrementell responsanalys; databehandling; prediktiv modellering; random forests; logistisk regression; neurala nätverk; mulit-layer perceptron; ensemble metoder; maskininlärning;

    Abstract : The desire to model the true gain from targeting an individual in marketing purposes has lead to the common use of uplift modeling. Uplift modeling requires the existence of a treatment group as well as a control group and the objective hence becomes estimating the difference between the success probabilities in the two groups. READ MORE

  3. 22. Ascribed Meanings to Self- Service Technologies: Exploring Grocery Shopper’s Use of SSTs and Subsequent Meanings held in a Digitalised World

    University essay from Lunds universitet/Institutionen för tjänstevetenskap

    Author : Elizabeth Martina St Marcus; [2020]
    Keywords : self-service technology; communities of practice; grocery shopping; digitalisation; Social Sciences;

    Abstract : Recent years have seen digitalisation entangled in everyday life; with the broader context of a digitalised world, one can no longer see the digitalised retail space and its technological artefacts as a lone-standing phenomena. Instead, it is necessary to see digitalisation as way of understanding and being in the modern world. READ MORE

  4. 23. Developing an Advanced Internal Ratings-Based Model by Applying Machine Learning

    University essay from KTH/Matematisk statistik

    Author : Aso Qader; William Shiver; [2020]
    Keywords : Internal-Ratings Based Approach; Machine Learning; Zero-Inflated Beta Regression; Capital Requirement; Basel Accords;

    Abstract : Since the regulatory framework Basel II was implemented in 2007, banks have been allowed to develop internal risk models for quantifying the capital requirement. By using data on retail non-performing loans from Hoist Finance, the thesis assesses the Advanced Internal Ratings-Based approach. READ MORE

  5. 24. Forecasting Daily Supermarkets Sales with Machine Learning

    University essay from KTH/Optimeringslära och systemteori

    Author : Daniel Fredén; Hampus Larsson; [2020]
    Keywords : Statistics; applied mathematics; machine learning; retail industry; time-series; forecasts; neural network; XGBoost; ARIMA; ARIMAX; Facebook Prophet; Prophet; LSTM; Statistik; tillämpad matematik; maskininlärning; livsmedelsindustrin; prognostisering tidsserier; neurala nätverk; XGBoost; ARIMA; ARIMAX; Facebook Prophet; Prophet; LSTM;

    Abstract : Improved sales forecasts for individual products in retail stores can have a positive effect both environmentally and economically. Historically these forecasts have been done through a combination of statistical measurements and experience. READ MORE

  6. 25. AI-based machine vision for retail self-checkout system

    University essay from Lunds universitet/Matematik LTH

    Author : Anton Rigner; [2019]
    Keywords : Object detection; Retail; Automatic Checkout; Artificial Intelligence; Deep Learning; Computer Vision; Technology and Engineering;

    Abstract : In recent years advances in computing power, availability of large annotated datasets and AI algorithms have enabled the rise of reliable object identification and tracking. This thesis describes the development and implementation considerations of a system for object detection in the retail industry. READ MORE