Essays about: "Användardata"

Showing result 1 - 5 of 31 essays containing the word Användardata.

  1. 1. Flexible Future : Exploring The Effects of Real Time Prices on Swedish Households’ Price Responsiveness

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Arvid Jonsson; Theo Målsten; [2023]
    Keywords : ;

    Abstract : The exceptionally high electricity prices in Sweden during 2022 changed the common view about electricity consumption and an increasing number of households switched from fixed or monthly contracts to real time price (RTP) contracts. Historically, there has been a limited amount of real user data on RTP customers and their consumption behaviors. READ MORE

  3. 2. Shoppin’ in the Rain : An Evaluation of the Usefulness of Weather-Based Features for an ML Ranking Model in the Setting of Children’s Clothing Online Retailing

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

    Author : Isac Lorentz; [2023]
    Keywords : Statistical analysis; regression analysis; recommender systems; ensemble learning; electronic commerce; LightGBM; learning to rank; feature selection; weather-based features; fashion; Statistisk analys; regressionsanalys; rekommendationssystem; ensemble-inlärning; näthandel; LightGBM; learning to rank; variabelselektion; väderbaserade variabler; mode;

    Abstract : Online shopping offers numerous benefits, but large product catalogs make it difficult for shoppers to understand the existence and characteristics of every item for sale. To simplify the decision-making process, online retailers use ranking models to recommend products relevant to each individual user. READ MORE

  4. 3. Experiments of Federated Learning on Raspberry Pi Boards

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

    Author : Simon Sondén; Farhad Madadzade; [2022]
    Keywords : Federated Learning; Raspberry Pi; FedAvg; Decentralized; Machine Learning; Convolutional Neural Network; PyTorch;

    Abstract : In recent years, companies of all sizes have become increasingly dependent on customer user data and processing it using machine learning (ML) methods. These methods do, however, require the raw user data to be stored locally on a server or cloud service, raising privacy concerns. READ MORE

  5. 4. Offline Reinforcement Learning for Optimization of Therapy Towards a Clinical Endpoint

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Simon Jenner; [2022]
    Keywords : Offline; Reinforcement learning; Double Deep Q-Network; Cognitive behavior therapy; Digital therapeutics; Optimization; Förstärkningsinlärning; Dubbelt djupt Q-nätverk; Kognitiv beteendeterapi; Digital terapeutika; Optimering;

    Abstract : The improvement of data acquisition and computer heavy methods in recentyears has paved the way for completely digital healthcare solutions. Digitaltherapeutics (DTx) are such solutions and are often provided as mobileapplications that must undergo clinical trials. READ MORE

  6. 5. Privacy leaks from deep linear networks : Information leak via shared gradients in federated learning systems

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

    Author : Guangze Shi; [2022]
    Keywords : Federated learning; Gradient share; Deep neural network; Information leak; Privacy and security; Maskininlärning med flera noder; Gradientdelning; Djupt neuralt nätverk; Informationsläcka; Integritetssäkerhet;

    Abstract : The field of Artificial Intelligence (AI) has always faced two major challenges. The first is that data is kept scattered and cannot be collected for more efficiently use. The second is that data privacy and security need to be continuously strengthened. READ MORE