The Subtleties of Statistics Statistics uniquely deal with uncertainty and randomness, distinguishing it sharply from other mathematical topics that are
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[카테고리:] Data Science
[구글의 미래형 AI] Project Astra 발표, Google의 혁신적인 멀티모달 인공지능
2024년 5월 14일, Google I/O의 기조연설에서 Google DeepMind의 책임자인 Demis Hassabis가 야심 찬 비전을 발표했다. Project Astra라는 이름의 이 멀티모달
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[ChatGPT New Update] Introduction of the GPT-4o Model, the Birth of Innovative Multimodal AI
In this post, we introduce ‘GPT-4o’, which is faster and more cost-effective than the previous GPT-4 Turbo. ‘GPT-4o’, released by
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[ChatGPT 신규 업데이트] GPT-4o 모델 발표, 혁신적인 멀티모달 인공지능의 탄생
이번 글에서는 기존 GPT-4 Gurbo보다 빨라지고 저렴해진 ‘GPT-4o’를 소개하고자 한다. ‘GPT-4o’는 2024년 5월 13일 Release 한 OpenAI의 ChatGPT 최신 모델로,
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YAML vs JSON vs XML: Understanding Data Serialization Formats
Data serialization formats are essential for data interchange between different systems, applications, and services. Among the most popular formats are
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Federated Learning (Collaborative Learning)
What is Federated Learning? Federated learning (also known as collaborative learning) is a sub-field of machine learning focusing on settings
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[Level of Significance] Why Use a Significance Level of 0.05?
Level of Significance The level of significance in hypothesis testing refers to the probability of making an error in rejecting
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Convex Hull: 인공지능에 기하학 적용하기
Convex Hull(컨벡스 헐)은 계산 기하학의 기본 개념으로서 인공지능, 컴퓨터 그래픽스, 로보틱스 등 여러 분야에서 중요한 역할을 하고 있다. 이 포스트에서는Convex
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Particle Filters: Solving Non-Linear and Non-Gaussian Estimation Problems
Particle Filters are a powerful Sequential Monte Carlo method used to address non-linear and non-Gaussian estimation challenges. This approach has
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Non-Linearity and Non-Gaussian Estimation Problems
Non-linearity and non-Gaussian estimation problems are among the most challenging types of issues encountered in system modeling and data analysis.
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