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Career Advancement Programme in Neural Networks for Fraud Detection

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์–ด๋””์„œ๋“  ํ•™์Šต

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์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Neural Networks and Deep Learning for Fraud Detection
  • Fundamentals of Machine Learning and its application in Fraud Detection
  • Neural Network Architectures for Anomaly Detection (Autoencoders, Recurrent Neural Networks)
  • Feature Engineering and Data Preprocessing for Fraudulent Transactions
  • Training and Evaluating Neural Network Models for Fraud Detection using TensorFlow/Keras or PyTorch
  • Advanced Topics in Neural Networks for Fraud Detection (Generative Adversarial Networks)
  • Model Deployment and Monitoring in a Production Environment
  • Ethical Considerations and Bias Mitigation in Fraud Detection Systems
  • Case Studies and Real-World Applications of Neural Networks in Fraud Detection

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role Description Neural Network Engineer (Fraud Detection) Develop and deploy cutting-edge neural network models for real-time fraud detection systems.

High demand for expertise in anomaly detection and deep learning.

Machine Learning Scientist (Financial Crime) Research and develop advanced machine learning algorithms, focusing on neural network architectures for preventing financial crimes.

Requires strong mathematical foundations and programming skills.

Data Scientist (Fraud Prevention) Analyze large datasets to identify patterns and build predictive models using neural networks to improve fraud prevention strategies.

Involves significant data cleaning, manipulation and visualization.

AI/ML Engineer (Anti-Money Laundering) Design and implement AI-driven solutions, leveraging neural networks, to combat money laundering and other financial crimes.

Experience in cloud computing platforms is beneficial.

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์‚ฌ์ „ ๊ณต์‹ ์ž๊ฒฉ์ด ํ•„์š”ํ•˜์ง€ ์•Š์Šต๋‹ˆ๋‹ค. ์ ‘๊ทผ์„ฑ์„ ์œ„ํ•ด ์„ค๊ณ„๋œ ๊ณผ์ •.

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์™œ ์‚ฌ๋žŒ๋“ค์ด ๊ฒฝ๋ ฅ์„ ์œ„ํ•ด ์šฐ๋ฆฌ๋ฅผ ์„ ํƒํ•˜๋Š”๊ฐ€

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN NEURAL NETWORKS FOR FRAUD DETECTION
์—๊ฒŒ ์ˆ˜์—ฌ๋จ
ํ•™์Šต์ž ์ด๋ฆ„
์—์„œ ํ”„๋กœ๊ทธ๋žจ์„ ์™„๋ฃŒํ•œ ์‚ฌ๋žŒ
London School of International Business (LSIB)
์ˆ˜์—ฌ์ผ
05 May 2025
๋ธ”๋ก์ฒด์ธ ID: s-1-a-2-m-3-p-4-l-5-e
์ด ์ž๊ฒฉ์ฆ์„ LinkedIn ํ”„๋กœํ•„, ์ด๋ ฅ์„œ ๋˜๋Š” CV์— ์ถ”๊ฐ€ํ•˜์„ธ์š”. ์†Œ์…œ ๋ฏธ๋””์–ด์™€ ์„ฑ๊ณผ ํ‰๊ฐ€์—์„œ ๊ณต์œ ํ•˜์„ธ์š”.
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