Preview | 2008.06.11
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2008.06.11
Neural networksI was chatting with Jon about the application of neural networks to stock trading, which is basically a perfect example for explaining the science. It went something like a'this: |
2022.08.15
The platformAnother node in the indieweb and a Java library for personal projects. |
2020.05.09
RasterI've done a little more work with my graphics library, following a few threads: |
machinethink.net
One-stage object detectionAn in-depth look at how fast object detection models are trained |
earlyretirementnow.com
The Ultimate Guide to Safe Withdrawal Rates Part 19: Equity Glidepaths in Retirement - Early Retirement NowOne of the most requested topics for our Safe Withdrawal Rate Series (see here to start at Part 1 of our series) has been how to optimally model a dynamic stock/bond allocation in retirement. Of course, as a mostly passive investor, I prefer to not get too much into actively and tactically timing the equity Continue reading The Ultimate Guide to Safe Withdrawal Rates Part 19: Equity Glidepaths in Retirement |
viznut.fi
Permacomputing | viznut |