Essays about: "Big Data Tuning"
Showing result 1 - 5 of 15 essays containing the words Big Data Tuning.
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1. Neural Cleaning of Swedish Textual Data : Using BERT-based methods for Token Classification of Running and Non-Running Text
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Modern natural language processing methods requires big textual datasets to function well. A common method is to scrape the internet to acquire the needed data. This does, however, come with the issue that some of the data may be unwanted – for instance, spam websites. READ MORE
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2. Improving Queuing Time in a Pull Based Containerized Continuous Integration Build System
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Most of the medium and big size software companies around the world are now using some form of continuous automatic build systems, with smaller companies following through. This approach, towards a more continuous flow, has pushed for more innovation in the domain and the adoption of various orchestration tools for these builds. READ MORE
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3. Evaluation of BERT-like models for small scale ad-hoc information retrieval
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : Measuring semantic similarity between two sentences is an ongoing research field with big leaps being taken every year. This thesis looks at using modern methods of semantic similarity measurement for an ad-hoc information retrieval (IR) system. READ MORE
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4. Self-organizing Maps for Digital Pre-distortion
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Power amplifiers are very important components in the area of wireless communications. However, they are non-linear devices and they seem to achieve high efficiency when they are operating in the non-linear regions, at the cost of being more power-consuming. In order to linearize their behavior, designers have been considering many methods. READ MORE
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5. Customer Churn Prediction for PC Games : Probability of churn predicted for big-spenders usingsupervised machine learning
University essay from KTH/Optimeringslära och systemteoriAbstract : Paradox Interactive is a Swedish video game developer and publisher which has players all around the world. Paradox’s largest platform in terms of amount of players and revenue is the PC. READ MORE