A Researcher and Data Scientist with demonstrated success delivering innovative policies and machine learning algorithms, having strong statistical skills, and presenting to all levels of leadership to improve decision making. Experience in Education, Logistics, Data Analysis and Data Science. Strong education professional with a Doctor of Philosophy (Ph.D.) focused on Mechanical Engineering from Boğaziçi University.
State-of-the-art performance for table-based question answering tasks Question answering is a field of natural language processing that involves developing algorithms and systems capable of answering questions posed in natural language....
Training a NER model from scratch with Python Named Entity Recognition is a Natural Language Processing technique that involves identifying and extracting entities from a text, such as people, organizations,...
Extract Hidden Insights from Texts at Scale with Regex Patterns Information extraction in natural language processing (NLP) is the process of automatically extracting structured information from unstructured text data. In...
Using Spark NLP capabilities to train and use CRF models for NER at scale Named Entity Recognition (NER) Conditional Random Field (CRF) is a machine learning algorithm in Spark NLP...
Become a master of text classification with Spark NLP’s comprehensive guide Text classification is the process of assigning a category or label to a piece of text, such as an...
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