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Certificate Programme in Supervised Learning Techniques

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The Certificate Programme in Supervised Learning Techniques is a comprehensive ten-unit professional course designed to meet the surging industry demand for AI expertise. This curriculum emphasizes practical application, equipping learners with critical skills in classification, regression, and model evaluation.

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์ด ๊ณผ์ •์— ๋Œ€ํ•ด

By mastering these foundational machine learning concepts, participants gain the technical proficiency required to solve complex business problems. The programme bridges the gap between theoretical knowledge and real-world implementation, ensuring graduates are ready for immediate impact. As organizations increasingly rely on data-driven decision-making, this certification serves as a vital credential for career advancement, positioning professionals for roles in data science and machine learning engineering.

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์™„๋ฃŒ๊นŒ์ง€ 2๊ฐœ์›”

์ฃผ 2-3์‹œ๊ฐ„

์–ธ์ œ๋“  ์‹œ์ž‘

๋Œ€๊ธฐ ๊ธฐ๊ฐ„ ์—†์Œ

๊ณผ์ • ์„ธ๋ถ€์‚ฌํ•ญ

  • Introduction to Supervised Learning
  • Regression Techniques: Linear and Logistic Regression
  • Classification Algorithms: Decision Trees and Support Vector Machines
  • Model Evaluation and Selection: Metrics and Cross-Validation
  • Ensemble Methods: Bagging, Boosting, and Stacking
  • Feature Engineering and Selection
  • Regularization Techniques: Ridge and Lasso Regression
  • Handling Imbalanced Datasets: Resampling and Cost-Sensitive Learning

๊ฒฝ๋ ฅ ๊ฒฝ๋กœ

Job Role Description Machine Learning Engineer (Supervised Learning) Develops and implements supervised learning models for various applications, focusing on prediction and classification tasks.

High industry demand.

Data Scientist (Supervised Techniques) Applies supervised learning algorithms to extract insights from large datasets, building predictive models to solve business problems.

Strong analytical skills required.

AI/ML Consultant (Supervised Learning Focus) Advises clients on implementing supervised learning solutions, assessing needs, and guiding the development and deployment of AI-driven systems.

Excellent communication crucial.

Business Intelligence Analyst (Supervised Models) Leverages supervised learning techniques to analyze business data, identify trends, and provide actionable insights for improved decision-making.

Expertise in data visualization is a plus.

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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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ํš๋“ํ•  ๊ธฐ์ˆ 

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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
CERTIFICATE PROGRAMME IN SUPERVISED LEARNING TECHNIQUES
์—๊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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