Essays about: "meaningful and relevant learning"

Showing result 6 - 10 of 25 essays containing the words meaningful and relevant learning.

1. 6. Advancing Keyword Clustering Techniques: A Comparative Exploration of Supervised and Unsupervised Methods : Investigating the Effectiveness and Performance of Supervised and Unsupervised Methods with Sentence Embeddings

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

   Author : Filippo Caliò; [2023]
   Keywords : Keyword Clustering; Supervised Learning; Unsupervised Learning; Cluster Labels; Natural Language Processing; Sentence Embeddings; Nyckelord Klustring; övervakad inlärning; oövervakad inlärning; klustermärkning; naturlig språkbehandling; Inbäddning av meningar;

   Abstract : Clustering keywords is an important Natural Language Processing task that can be adopted by several businesses since it helps to organize and group related keywords together. By clustering keywords, businesses can better understand the topics their customers are interested in. READ MORE

3. 7. Analysing recommended content provided by YouTube and users preferences : A Case Study at Dalarna University in Sweden

   University essay from Högskolan Dalarna/Institutionen för information och teknik

   Author : Omar Ahmed; Philip Kelli; [2022]
   Keywords : ;

   Abstract : The application YouTube released in 2005 is today known as the most prominent platform on the world wide web for sharing, creating, and discovering video content(s). By utilizing technology trends such as Machine learning, YouTube can take advantage of algorithms such as deep neural networks to entice the users with a massive amount of personalized recommended content(s)t to watch based on the user's data. READ MORE

4. 8. Classification of Repeated Measurement Data Using Growth Curves and Neural Networks

   University essay from Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

   Author : Kasper Andersson; [2022]
   Keywords : Repeated Measurement Data; Sequential Data; Growth Curve Model; Linear Discriminant Analysis; Neural Network; Recurrent Neural Network; LSTM; Upprepade Mätningar; Sekventiell Data; Tillväxtkurvor; Linjär Diskriminantanalys; Neurala Nätverk; Recurrent Neurala Nätverk; LSTM;

   Abstract : This thesis focuses on statistical and machine learning methods designed for sequential and repeated measurement data. We start off by considering the classic general linear model (MANOVA) followed by its generalization, the growth curve model (GMANOVA), designed for analysis of repeated measurement data. READ MORE

5. 9. Node embedding algorithms in  product recommendation systems

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Klas Holmberg; [2022]
   Keywords : ;

   Abstract : Product recommendation systems are used for recommending products or product- groups to users or user-groups. With the rise of big data, these systems are in- creasingly being built on machine learning algorithms that use the collection of data to train and produce recommendations. READ MORE

6. 10. Analysis of Brain Signals from Patients with Parkinson’s Disease using Self-Supervised Learning

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

   Author : Emma Lind; [2022]
   Keywords : Machine Learning; Self-supervised learning; Feature extraction; Parkinson’s Disease; Magnetoencephalography; Electroencephalogram; Maskininlärning; Självlärande inlärning; Särdragsextraktion; Parkinsons sjukdom; Magnetoencefalografi; Elektroencefalografi;

   Abstract : Parkinson’s disease (PD) is one of the most common neurodegenerative brain disorders, commonly diagnosed and monitored via clinical examinations, which can be imprecise and lead to a delayed or inaccurate diagnosis. Therefore, recent research has focused on finding biomarkers by analyzing brain networks’ neural activity to find abnormalities associated with PD pathology. READ MORE