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Master Natural Language Processing. Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more!
Machine learning aims to produce machines that can learn from their experiences and make predictions based on those experiences and other data they have analyzed.The Center for Machine Learning at Georgia Tech is an Interdisciplinary Research Center that is both a home for thought leaders and a training ground for the next generation of pioneers.
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Over the years, the Machine Learning Center at Georgia Tech ([email protected]) has steadily been increasing its presence in the natural language processing (NLP) community.
AI Chip Paper List Table of Contents. About This Project; The Chronological Listing of Papers. ISCA; ASPLOS; MICRO; HPCA; About This Project This project aims to help engineers, researchers and students to easily find and learn the good thoughts and designs in AI-related fields, such as AI/ML/DL accelerators, chips, and systems, proposed in the top-tier architecture conferences (ISCA, MICRO ...
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Ph.D. in Computer Science, Georgia Tech Advisor: Jacob Eisenstein. yiyangnlp at gmail dot com. Natural language processing (NLP) and machine learning. I am particularly interested in working with nonstandard languages (e.g., social media text) and building NLP systems that require global reasoning (structured prediction).
The Natural Language Processing course covers concepts like statistical machine translation and neural models, deep semantic similarity models (DSSM), neural knowledge base embedding, deep reinforcement learning techniques, neural models applied in image captioning, and visual question answering with Python’s Natural Language Toolkit.