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Prospect theory - Wikipedia, the free encyclopedia
- ow individuals evaluate gains and losses - basically the idea is that you tend to ‘weight’ losses more than gains, so that tends to make you risk-averse. But the point from which you measure that gain or loss is affected by the ‘frame’ of the deci - post by Kevin Wen
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从单个数据源开始
如果你把许多不同的数据源集成到单视图中用于创建你的特征向量,那么接着你也许会想以某个单一的数据源作为模型的基础,然后将其他数据源分次装入。
许多问题的模式相通:一个主要的密集数据源和几个增入主源的系数稀疏数据源。
如果一次整合过多数据,你也许会发现自己已被数据处理和转换的复杂度压倒,而这亦会伤及你的研究能力。也可能会限制你从数据源中提取信息的能力,因为不断的修改数据,你便很难专注于从每个数据源中提取信息。
- 不要想那些你死了后都完不成的东西。你要不断的告诫自己。
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Big Data Is Less About Size, And More About Freedom
- Distributed systems are about making trade offs and a move toward problem-specific solutions rather than one-size-fits-all stacks.
- Second, enterprises already have their solution—expensive data warehousing and consulting support.
- the most interesting part about big data and the cloud is not cheaper alternatives for the enterprise, it is the opportunities it facilitates for data-driven startups.
- Distributed systems are hard to get right, so when something like Hadoop gets a lot of momentum, it retains that momentum until alternatives have the time to mature enough to solve the hard problems with fault tolerance, performance, and so forth.
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You Don’t Need Math Skills To Be A Good Developer But You Do Need Them To Be A Great One
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Spring Framework 3.0 and Annotation-driven Formatting - Developer.com