Explore the foundations of intelligent computer systems with this comprehensive AI course from UC Berkeley. Build autonomous agents, learn inference techniques, and master machine learning algorithms.
This course will introduce the basic ideas and techniques underlying the design of intelligent computer systems. A specific emphasis will be on the statistical and decision-theoretic modeling paradigm. By the end of this course, you will have built autonomous agents that efficiently make decisions in fully informed, partially observable and adversarial settings. Your agents will draw inferences in uncertain environments and optimize actions for arbitrary reward structures. Your machine learning algorithms will classify handwritten digits and photographs. The techniques you learn in this course apply to a wide variety of artificial intelligence problems and will serve as the foundation for further study in any application area you choose to pursue.
This course is highly recommended for anyone interested in artificial intelligence and its practical applications. The skills and techniques covered in this course provide a strong foundation for further study and research in AI, machine learning, and related fields.
GetVM 是如何工作的?
从浏览器侧边栏中学习
从浏览器侧边栏中访问
简单安装浏览器扩展并点击侧边栏中启动 GetVM。
选择你的环境
从我们的环境库中选择你的操作系统、IDE 或应用,并立即启动。
边学边做
在教程或视频的侧边栏中,在 VM 中实践你的新技能。保存你的工作,以便在将来继续学习。
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