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Automating code generation, SQL query formulation, and data preprocessing pipelines is a crucial step toward intelligent and efficient software development. This project aims to leverage large
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locations in hundreds of example video frames. Coding expertise is also needed. These barriers mean that automated behavioural prediction tools are accessible to only a fraction of behavioural research labs
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processing, or autonomous driving. Proficient coding skills in Python, preferably with hands-on experience on deep learning frameworks such as PyTorch, TensorFlow, or Keras. Project funding Project based
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with emerging technologies and enjoy sharing what I learn with others. Take pride in writing clean, maintainable code and following best practices like unit testing, code reviews, and release management
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, Statistics and Computing, Vol. 10, No. 1, Jan. 2000, pp73-83 Wallace, C.S. and P.R. Freeman (1987). Estimation and inference by compact coding. J. Royal Statist. Soc. B, 49, 240–252.
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fee waived. Please request a waiver code from asiascholarship@monash.edu before you submit your course application. More information and entry requirements for international undergraduate courses 2025
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for this scholarship will have their $125 course application fee waived. Please request a waiver code from asiascholarship@monash.edu before you submit your course application (include your country
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Epilepsyecosystem.org as a way to bring researchers, code and data together from all over the world to help solve the problem of seizure prediction. Required knowledge Machine learning, AI, signal processing, dynamical
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Linguistics (ACL), 2019 [2] Learning to Actively Learn Neural Machine Translation [code] Ming Liu, Wray Buntine, Gholamreza Haffari In Proceedings of CoNLL, 2018. [3] Learning How to Actively Learn: A Deep
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to code, preferably in C, C++ or Rust, is also necessary. Candidates with experience or interest in cutting planes, polyhedral geometry and graph theory are especially invited to apply. A fully-funded