Essays about: "features of good job"
Showing result 1 - 5 of 9 essays containing the words features of good job.
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1. Nowcasting U.S. inflation using mixed frequency real-time data
University essay from Lunds universitet/Matematisk statistikAbstract : Different models were developed with the aim of nowcasting inflation at a daily basis with high frequency variables, while using real-time data to avoid look ahead bias. Both popular machine learning models such as Random Forest and XGBoost, and more traditional models such as UMIDAS and Almon distributed lag models were used to make the nowcasts. READ MORE
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2. Classification of Error Messages in Semi-Structured Log Files Using Machine Learning Algorithms
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : In Ericsson, newly developed applications are tested in an in-house testing framework. When an error occurs in the testing phase, manual inspection of errors in the log files and manual classification of these errors into production (PROD) or environment (ENV) classes cost a lot of time. READ MORE
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3. Chromosomal DNA Barcode Assembly Using Hierarchical Clustering Matrix Method: Including Elastic Matching
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Obtaining DNA sequences is a time-consuming task, which typically requires one or several days for completion. One way of reducing analysis times is to be satisfied with long-range sequence patterns on the order of thousands of base pairs. DNA barcoding is a DNA-characterising technique that works according to this principle. READ MORE
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4. Machine Learning for Constraint Programming
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : It is well established that designing good heuristics for solving Constraint Programming models requires years of domain experience and a huge amount of trial and error. In this thesis project, we conduct an empirical study of whether Machine Learning and Deep Learning techniques have the potential to help the design of constraint solving heuristics. READ MORE
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5. Deep Learning techniques for classification of data with missing values
University essay from Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Two deep learning techniques for classification on corrupt data are investigated and compared by performance. A simple imputation before classification is compared to imputation using a Variational Autoencoder (VAE). READ MORE
