第1 章AI 赋能时代的创业······················································································1__eol__1.1 中国AI 如何弯道超车····································································································2__eol__1.2 AI 从“发明期”进入“应用期”··················································································9__eol__1.2.1 深度学习助推AI 进入“应用期”···································································10__eol__1.2.2 To B 创业迎来黄金发展期················································································ 11__eol__1.2.3 “传统产业+AI”将创造巨大价值·····································································14__eol__1.2.4 AI 赋能传统行业四部曲···················································································16__eol__1.3 AI 赋能时代的创业特点·······························································································21__eol__1.3.1 海外科技巨头成功因素解析·············································································21__eol__1.3.2 科学家创业的优势和短板·················································································24__eol__1.3.3 四因素降低AI 产品化、商业化门槛·······························································26__eol__1.4 给未来AI 人才的建议··································································································30__eol__第2 章AI 的产品化和工程化挑战·········································································35__eol__2.1 从AI 科研到AI 商业化································································································36__eol__2.2 产品经理视角—数据驱动的产品研发······································································40__eol__2.2.1 数据驱动············································································································41__eol__2.2.2 典型C 端产品的设计和管理············································································43__eol__2.2.3 典型B 端产品解决方案的设计和管理·····························································46__eol__2.2.4 AI 技术的产品化·······························································································48__eol__2.3 架构设计师视角—典型AI 架构···············································································51__eol__2.3.1 为什么要重视系统架构····················································································51__eol__2.3.2 与AI 相关的典型系统架构··············································································53__eol__2.4 写在本章最后的几句话································································································78__eol__本章参考文献 ························································································································79__eol__第3 章机器学习的发展现状及前沿进展 ······························································81__eol__3.1 机器学习的发展现状····································································································82__eol__3.2 机器学习的前沿进展····································································································85__eol__3.2.1 复杂模型············································································································85__eol__3.2.2 表示学习············································································································90__eol__3.2.3 自动机器学习····································································································95__eol__第4 章自然语言理解概述及主流任务 ··································································99__eol__4.1 自然语言理解概述······································································································100__eol__4.2 NLP 主流任务·············································································································100__eol__4.2.1 中文分词··········································································································101__eol__4.2.2 指代消解··········································································································102__eol__4.2.3 文本分类·································