0


视觉词典:寻求数据驱动的决策

Visual Lexicons: The Quest for Data - Driven Decision Making
课程网址: http://videolectures.net/mlmi04uk_house_qdddm/  
主讲教师: Charles H. House
开课单位: 英特尔公司
开课时间: 2007-02-25
课程语种: 英语
中文简介:
永恒的人工智能任务 - 机器能和人一样思考吗? - 与机器如何帮助人们思考的问题相比,今天看起来很古怪。 诚然,Deep Blue可以击败世界上最好的国际象棋选手,而不是通过思考,而是通过详尽地检查所有排列和组合在盲目时间内对预定的结果规则集。 然而,人类面临的问题似乎是规则最多不精确的形式,也许基本上是不可知的。 如果可学习和可知,则存在许多其他限制因素,可以减轻“数据驱动的决策”。 本演示文稿评估了这些约束中的一些,并提供了使用视觉动态和分析来帮助克服这些问题的价值观。
课程简介: The eternal AI quest - can machines think as well as man? - seems quaint today compared to the question of how can machines help man to think. True, Deep Blue can beat the world's best chess player, not by thinking, but by exhaustively examining all permutations and combinations in blinding time against a predetermined outcome set of rules. The questions for mankind, though, seem of the form where rules are imprecise at best, and essentially unknowable perhaps. If learnable and knowable even, many other constraints exist that mitigate against "data-driven decision-making". This presentation assesses some of these constraints, and offers some perspective on the value of using visual dynamics and analytics to help overcome such issues.
关 键 词: 人工智能; 结果规则集; 数据驱动的决策
课程来源: 视频讲座网
最后编审: 2019-07-02:cjy
阅读次数: 43