Advanced Skill Certificate in Labeling Metrics

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๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Understanding Labeling Metrics: Precision, Recall, and F1-Score
  • Advanced Metrics for Imbalanced Datasets: AUC-ROC, PR AUC
  • Inter-Annotator Agreement (IAA) and Kappa Statistics
  • Evaluating Labeling Quality: Error Analysis and Bias Detection
  • Cost-Sensitive Learning and its Impact on Labeling Metrics
  • Labeling Efficiency and Cost Optimization Strategies
  • Active Learning and its role in improving Labeling Metrics
  • Data Augmentation techniques and their effect on model performance and labeling metrics

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Career Role (Advanced Labeling Metrics) Description Data Labeling Specialist (Machine Learning, AI) Expert in annotating and tagging data for AI/ML model training; ensures high data quality and accuracy.

High demand in UK tech.

Senior Labeling Project Manager (Data Annotation, Quality Control) Manages large-scale data labeling projects, oversees teams, and ensures projects are completed on time and within budget.

Strong leadership and problem-solving skills essential.

AI/ML Data Scientist (Labeling, Model Evaluation) Develops and implements data labeling strategies; evaluates model performance and iteratively improves labeling processes.

Deep understanding of machine learning algorithms required.

Quality Assurance Analyst (Data Integrity, Labeling Accuracy) Focuses on ensuring the accuracy and quality of labeled data; develops and implements quality control procedures.

Crucial for successful AI/ML deployment.

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์ƒ˜ํ”Œ ์ธ์ฆ์„œ ๋ฐฐ๊ฒฝ
ADVANCED SKILL CERTIFICATE IN LABELING METRICS
์—๊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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