Advanced search
Showing result 1 - 5 of 285 essays matching the above criteria.
-
1. Implementing End-to-End MLOps for Enhanced Steel Production
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). READ MORE
-
2. Incremental Re-tokenization in BPE-trained SentencePiece Models
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This bachelor's thesis in Computer Science explores the efficiency of an incremental re-tokenization algorithm in the context of BPE-trained SentencePiece models used in natural language processing. The thesis begins by underscoring the critical role of tokenization in NLP, particularly highlighting the complexities introduced by modifications in tokenized text. READ MORE
-
3. A type-driven approach for sensitivity checking with branching
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Differential Privacy (DP) is a promising approach to allow privacy preserving statistics over large datasets of sensitive data. It works by adding random noise to the result of the analytics. Understanding the sensitivity of a query is key to add the right amount of noise capable of protecting privacy of individuals in the dataset. READ MORE
-
4. Ensuring the Security of PyPI Packages
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Developers often use open-source code libraries in order to achieve desired functionalities without needing to re-implement existing code. Python developers are no exceptions here, and frequently use the Python Package Index, PyPI, to download the specific code packages they want to use. READ MORE
-
5. An Empirical Survey of Bandits in an Industrial Recommender System Setting
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. READ MORE