找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: What About the Future?; New Perspectives on Fred Phillips Book 2019 Springer Nature Switzerland AG 2019 Theory of forecasting.Risk and unc

[复制链接]
楼主: 闪烁
发表于 2025-3-23 13:34:38 | 显示全部楼层
The Present and the Future,One way the present dictates the future is when a trend becomes effectively irreversible. The chapter lists a large number of trends that have reached this point of no return and explains why some of these “tipping points” are examples of technology substitution, while others are not.
发表于 2025-3-23 14:34:59 | 显示全部楼层
发表于 2025-3-23 20:54:01 | 显示全部楼层
The Future of the Future,This chapter concludes the book with a discussion of the “future of the future,” or how our evolving view of the future will shape actual futures—and what current events might hobble our ability to foresee. It discusses corporate short-termism, democratizing technologies and wealth inequality, the nature of karma, and finally, happiness.
发表于 2025-3-24 01:39:07 | 显示全部楼层
发表于 2025-3-24 04:14:39 | 显示全部楼层
tage for reading this book is that it really stands alone in.CakePHP is a leading PHP–based web app development framework. When asking a question on forums or chat rooms, many CakePHP beginners get little help from the experts. Simple questions can get a response like, “Well, just read the online ma
发表于 2025-3-24 09:15:30 | 显示全部楼层
发表于 2025-3-24 12:58:09 | 显示全部楼层
发表于 2025-3-24 17:57:34 | 显示全部楼层
Fred Phillipsof the DAX language to solve common data modeling challenges. .Beginning .DAX with Power BI. teaches key concepts such as mapping techniques from SQL to DAX, filtering, grouping, joining, pivoting, and using temporary tables, all aimed at the SQL professional. Join author Philip Seamark as he guides
发表于 2025-3-24 22:21:01 | 显示全部楼层
Fred Phillipsaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R..Beginning Data Science in R. details how data science is a combination of statistics, computational science, and machine learning. You’ll see how to efficiently st
发表于 2025-3-25 01:57:01 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-8 22:32
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表