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Career Advancement Programme in Machine Learning for Urban Policy Analysis

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

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์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Machine Learning for Urban Policy
  • Data Acquisition and Preprocessing for Urban Datasets
  • Predictive Modeling Techniques for Urban Policy Analysis (Regression, Classification)
  • Machine Learning for Urban Transportation & Mobility
  • Spatial Data Analysis and Geovisualization
  • Ethical Considerations in Machine Learning for Urban Policy
  • Case Studies: Machine Learning Applications in Urban Planning
  • Advanced Machine Learning for Urban Policy: Deep Learning & Reinforcement Learning

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Machine Learning & Urban Policy) Description Data Scientist (Urban Planning) Develops and implements machine learning models to analyze urban data, informing policy decisions related to transportation, housing, and resource allocation.

High demand for predictive modeling skills.

Machine Learning Engineer (Smart Cities) Builds and deploys machine learning solutions for smart city initiatives, focusing on infrastructure optimization and citizen service improvements.

Expertise in model deployment and cloud technologies crucial.

AI Consultant (Urban Policy) Advises government agencies and urban planning organizations on the ethical and effective application of AI algorithms in policymaking.

Requires strong communication and strategic thinking skills.

Urban Data Analyst (Advanced Analytics) Analyzes large datasets to identify trends and patterns, providing insights to support evidence-based urban policy decisions.

Proficient in data visualization and statistical analysis .

์ž…ํ•™ ์š”๊ฑด

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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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์ด ๊ณผ์ •์˜ ๋น„์šฉ์„ ์ง€๋ถˆํ•˜๊ธฐ ์œ„ํ•ด ํšŒ์‚ฌ๋ฅผ ์œ„ํ•œ ์ฒญ๊ตฌ์„œ๋ฅผ ์š”์ฒญํ•˜์„ธ์š”.

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๊ฒฝ๋ ฅ ์ธ์ฆ์„œ ํš๋“

์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
CAREER ADVANCEMENT PROGRAMME IN MACHINE LEARNING FOR URBAN POLICY ANALYSIS
์—๊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
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