A thought-provoking and wide-ranging exploration of machine learning and the race to build computer intelligences as flexible as our own
In the world's top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. In The Master Algorithm, Pedro Domingos lifts the veil to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He assembles a blueprint for the future universal learner--the Master Algorithm--and discusses what it will mean for business, science, and society. If data-ism is today's philosophy, this book is its bible.
Pedro Domingos is a professor of computer science at the University of Washington. He is a winner of the SIGKDD Innovation Award, the highest honor in data science. A fellow of the Association for the Advancement of Artificial Intelligence, he lives near Seattle.
1) 一本关于机器学习的科普著作,最适合IT学生、研究者和从业者阅读;非IT读者可能比较烧脑。 (2) 最有价值的部分是系统讲解了机器学习五大流派(符号学派、联结学派、进化学派、贝叶斯学派、类推学派)的基本思想和原理、主算法,以及发展的脉络. 这不简单。 (3) 作者以探求...
评分虽然内容比较浅显,但重点是研究了机器学习的背景和理论基础,其实对专业人员来说也是很有启发的。 Minsky was an ardent supporter of the Cyc project, the most notorious failure in the history of AI. e goal of Cyc was to solve AI by entering into a computer all t...
评分上周参加一个会议,资料袋中放了一本《终极算法》,似乎是最近的热门畅销,出门时就顺手带上,在飞机上翻看。译者大概是文科生,看来胆子挺大:“与,或,非”翻译成“且,或,非”(页4),切!微分、积分翻译成“分化”和“整合”(页11),“NP完全问题”加了编者注(页42)...
评分作为一位机器学习领域研习10 年以上的专业技术人员,我当初入行的时候没有想到,短短的10 年间,这项技术会如此快速地改变众多行业,并影响全球数十亿用户生活的方方面面。在今天,当你用今日头条浏览新闻资讯的时候,当你用网易云音乐查看推荐歌单的时候,当你在百度搜索信息...
评分在深度学习出现突破之前,其实我不太相信会出现什么机器智能。那些让人惊艳的产品都不过是人脑智慧的某种包装,背后的力量还是人。比如: - Google 神奇的 PageRank 算法可以把网页按搜索词的相关性排序展现。但它最初并不是突破了什么语意理解,本质上只是把对网页质量的评判...
五大算法流派科普,主要问题是卖弄文采打比喻停不下来; 最后一章略了
评分有意思有意思,融合的那章迷之精彩
评分习大大在读????……
评分科普向
评分尴尬
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