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gouthamanbalaraman.com | ||
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senthil.learntosolveit.com
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| | | | | This is a coin flip simulator. It compare theoretical binomial distribution with experimental results. listings/python/coinflip.py (Source) import random import math import matplotlib.pyplot as plt | |
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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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matbesancon.xyz
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| | | | | Learning by doing: detecting fraud on bank notes using Python in 3 steps. | |
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lucatrevisan.wordpress.com
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| | | (This is the sixth in a series of posts on online optimization techniques and their ``applications'' to complexity theory, combinatorics and pseudorandomness. The plan for this series of posts is to alternate one post explaining a result from the theory of online convex optimization and one post explaining an ``application.'' The first two posts were... | ||
