Visionary designer and technologist John Maeda defines the fundamental laws of how computers think, and why you should care even if you aren't a programmer. "Maeda is to design what Warren Buffett is to finance." --Wired John Maeda is one of the world's preeminent interdisciplinary thinkers on technology and design. In How to Speak Machine, he offers a set of simple laws that g...(展开全部)

莫提默·J.艾德苗（(Mortimer J.Adler，1902-2001） 以学者、教育家、编辑人等多重面貌享有盛名。除了写作《如何阅读一本书》外，以主编《西方世界的经典》，并担任1974年第十五版《大英百科全书》的编辑指导而闻名于世。另外，他还曾任大观念研究中心的名誉主席，是该中心的最初发起者之一。

Mortimer J. Adler's classic How to Read a Book was an instant bestseller upon publication, and its worldwide sales today total over seven million copies. Audiences will find this companion book just as provocative as its predecessor. Drawing on decades of experience as an educator and philosopher, Mortimer J. Adler offers a short course in effective communication, filled with h...(展开全部)

莫提默·J.艾德苗（(Mortimer J.Adler，1902-2001） 以学者、教育家、编辑人等多重面貌享有盛名。除了写作《如何阅读一本书》外，以主编《西方世界的经典》，并担任1974年第十五版《大英百科全书》的编辑指导而闻名于世。另外，他还曾任大观念研究中心的名誉主席，是该中心的最初发起者之一。

Mortimer J. Adler's classic How to Read a Book was an instant bestseller upon publication, and its worldwide sales today total over seven million copies. Audiences will find this companion book just as provocative as its predecessor. Drawing on decades of experience as an educator and philosopher, Mortimer J. Adler offers a short course in effective communication, filled with h...(展开全部)

从华尔街到白宫，最终“恢复正常”的幻想仍然存在，而且由危险的过时理论所培育。但是，我们所知道的经济世界——以及支配它的规则——已经结束了。未来十年，我们将目睹持续的通货膨胀、一系列主权和企业债务危机，以及大量资本从金融资产流向硬资产。 很少有人做好准备。 劳伦斯·G·麦克唐纳（Lawrence G. McDonald）是经济研究平台“熊市陷阱报告”（The Bear Traps Report）的创始人，在担任雷曼兄弟（Lehman Brothers）副总裁期间，他目睹了雷曼兄弟在倒闭前无视闪烁的警告信号，从而接受了市场风险的真实教育。他的分析使他确定了21个指标，用于衡量经济的健康状况，并发现机会和危险的早期信号。 在《如何倾听市场说话》一书中，McDonald展示了他独特的预测模型，将过去、现在和未来之间令人惊讶的点连接起来，并概述了可操作的交易理...(展开全部)

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and ex...(展开全部)

The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed using minimum resources, and ex...(展开全部)