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

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發(fā)表于 2025-3-23 13:34:38 | 只看該作者
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.
12#
發(fā)表于 2025-3-23 14:34:59 | 只看該作者
13#
發(fā)表于 2025-3-23 20:54:01 | 只看該作者
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.
14#
發(fā)表于 2025-3-24 01:39:07 | 只看該作者
15#
發(fā)表于 2025-3-24 04:14:39 | 只看該作者
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
16#
發(fā)表于 2025-3-24 09:15:30 | 只看該作者
17#
發(fā)表于 2025-3-24 12:58:09 | 只看該作者
18#
發(fā)表于 2025-3-24 17:57:34 | 只看該作者
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
19#
發(fā)表于 2025-3-24 22:21:01 | 只看該作者
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
20#
發(fā)表于 2025-3-25 01:57:01 | 只看該作者
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