Matrix Methods in Data Analysis, Signal Processing, and Machine Learning 이 과정은 선형 대수 개념을 통해 머신러닝 알고리즘, 특히 딥러닝과 신경망을 이해하고 만드는 데 필요한 내용을 다룹니다. 확률, 통계, 최적화에 대한 응용을 포함하여 선형 대수의 전반적인 설명을 제공합니다.
Introduction to EECS II: Digital Communication Systems This course provides an introduction to key concepts in electrical engineering and computer science through the lens of digital communication systems. Learners will explore the foundational layers of bits, signals, and packets that underpin modern communication technologies, including the Internet.
Computational Camera and Photography This course explores the innovative field of computational cameras, focusing on how they capture visual information through advanced optics, sensors, and processing techniques. Learners will engage with various camera technologies and their applications in diverse fields such as art, science, and social media.
레벨 입문 Open Academy Introduction to EECS II: Digital Communication Systems 가격 무료 강의 adminStudentCount 18명
레벨 입문 Open Academy Matrix Methods in Data Analysis, Signal Processing, and Machine Learning 가격 무료 강의 adminStudentCount 42명
레벨 입문 Open Academy Biological Engineering II: Instrumentation and Measurement 가격 무료 강의 adminStudentCount 12명