Avancerad sökning

Hittade 2 uppsatser som matchar ovanstående sökkriterier.

1. 1. A comparison of Data Stores for the Online Feature Store Component : A comparison between NDB and Aerospike

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Alexander Volminger; [2021]
   Nyckelord :Feature Stores; Data Stores; NDB; Aerospike; NoSQL; Online Feature Stores; Feature Stores; Datalagringsystem; NDB; Aerospike; NoSQL; Online Feature Stores;

   Sammanfattning : This thesis aimed to investigate what Data Stores would fit to be implemented as an Online Feature Store. This is a component in the Machine Learning infrastructure that needs to be able to handle low latency Reads at high throughput with high availability. LÄS MER

3. 2. Evaluating a deep convolutional neural network for classification of skin cancer

   Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Joakim Boman; Alexander Volminger; [2018]
   Nyckelord :;

   Sammanfattning : Computer-aided diagnosis (CAD) has become an important part of themedical field. Skin cancer is a common and deadly disease that a CADsystem could potentially detect. It is clearly visible on the skin andtherefore only images of skin lesions could be used in order to pro-vide a diagnosis. LÄS MER