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. Required knowledge Strong background in machine/deep learning, computer vision, or applied statistics. Solid programming skills in Python and experience with deep learning frameworks (e.g., PyTorch
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Benchmarking or deaR (DEA) lm / glm (regression) Python Libraries pandas, numpy, statsmodels pyDEA (for DEA)
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. Required knowledge Python programming Machine learning background Image analysis Video analysis Audio analysis
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, enabling proactive measures against potential threats. Required knowledge Python programming Machine learning background
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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applying AI/ML techniques (deep learning, natural language processing, computer vision, reinforcement learning) to complex scientific problems Expert Python programming with major ML frameworks (TensorFlow
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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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various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis
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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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, custom ringtones, specific genres). Required knowledge Python programming Machine learning background Audio analysis