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gouthamanbalaraman.com | ||
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acidbourbon.wordpress.com
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| | | | | Motivation In the previous post we discussed the possibility to use LTspice as a "plug in" into a Python/Numpy signal processing project. It works quite well: you send a numpy data vector to LTspice, let it run through the simulation and get back a numpy vector again. Everything is abstracted away nicely by the "apply_ltspice_filter.py"... | |
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www.implementingquantlib.com
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| | | | | Today's post was originally published as an article in the May 2023 issue of Wilmott Magazine, which was dedicated to the 50th anniversary of the Black-Scholes model. | |
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teddykoker.com
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| | | | | A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need: | |
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designlab.com
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| | | Learn what to look for and how to choose from the best UX design bootcamps for your career journey in 2025. | ||
