कोर्स
18852 कोर्स
Data and Digital Tech Optimization for Field Operations - Case Study
Discover how SK Rentacar leverages data analytics and digital technology to optimize Jeju car rental operations, predict market demands, and implement automated service processes for enhanced business efficiency.
한 눈에 전국 방방곡곡 사람들의 움직임 파악하기 - 지오비전퍼즐 데이터 분석 서비스
Discover how SKT's GeoVision Puzzle leverages telecom big data analytics to provide precise population movement insights and API solutions for businesses across South Korea.
AutoML의 현재와 미래 - 산업 현장에서의 실제 활용 사례
Discover how AutoML technology evolved from a buzzword to an essential industrial tool, exploring its current applications and future challenges at SK Group through real-world implementation cases.
내가 왕이 될 콘텐츠인가 - 콘텐츠 흥행 예측과 AI 기반 분석
Discover how SK Broadband combines AI with domain expertise to predict content success, minimizing investment risks through objective metrics and machine learning models for entertainment content performance forecasting.
LITMUS - 위치 지능화 데이터 분석 및 교통 패턴 시스템
Discover how SK Telecom's LITMUS system analyzes mobility patterns through AI, providing detailed insights into transportation habits, commuting behaviors, and traffic patterns for solving urban challenges.
Introduction to Machine Learning - Lecture 1
Discover the foundational concepts of machine learning, exploring its widespread applications and fundamental principles while understanding what constitutes learning in artificial systems.
A Computational Theory of Graphical Dynamical Systems with Applications to Socio-Technical Networks
Explore the computational theory of Graphical Dynamical Systems and their practical applications in modeling complex socio-technical networks and distributed systems.
Prompting for Evaluation of Free-Text Explanations - Part 2
Dive into advanced techniques for evaluating free-text explanations in AI prompting, focusing on methodologies and practical applications for data science analysis.
Challenges in Fostering Trust and Distrust in AI Systems
Explore key challenges in AI trust development, from benchmark construction and evaluation methods to data quality issues and human trust factors in artificial intelligence systems.
Visualization for Data Science - Creating Views and Dashboards
Master data visualization techniques for creating impactful views and dashboards, focusing on best practices for effective data presentation and communication in data science applications.
Introduction to Machine Learning Model Explanations and Interpretability
Explore key concepts in data science explanations, from gradient-based highlighting to contrastive editing, covering essential techniques for understanding and interpreting complex models.
The Importance of Arts and Crafts in ThreatOps - Effective Visual Communication for Cybersecurity Analysis
Master effective visualization techniques for cybersecurity incidents and threat intelligence, enhancing your ability to communicate complex security concepts through clear, standardized diagrams.