The Log-Normal Reality
The Log-Normal Reality I took some time off in October to visit my friends and family in Hong Kong. When I returned from my vacation, I was very excited to see that we had shipped our new design for the endpoints page. If you haven't seen it yet, go ahead and see it in action with data from your own apps! Here is what it looks like in our app: This new design is a small part of the redesign projec
Algorithms for calculating variance - Wikipedia
Algorithms for calculating variance play a major role in computational statistics. A key difficulty in the design of good algorithms for this problem is that formulas for the variance may involve sums of squares, which can lead to numerical instability as well as to arithmetic overflow when dealing with large values. A formula for calculating the variance of an entire population of size N is: Usin
速水桃子「パターン認識と機械学習入門」
IBIS 2021 https://ibisml.org/ibis2021/ における最適輸送についてのチュートリアルスライドです。 『最適輸送の理論とアルゴリズム』好評発売中！ https://www.amazon.co.jp/dp/4065305144 Speakerdeck にもアップロードしました: https://speakerdeck.com/joisino/zui-shi-shu-song-ru-men
Multi-armed bandit - Wikipedia
A row of slot machines in Las VegasIn probability theory and machine learning, the multi-armed bandit problem (sometimes called the K-[1] or N-armed bandit problem[2]) is a problem in which a decision maker iteratively selects one of multiple fixed choices (i.e., arms or actions) when the properties of each choice are only partially known at the time of allocation, and may become better understood
Diagram of probability distribution relationships
Diagram of distribution relationships Probability distributions have a surprising number inter-connections. A dashed line in the chart below indicates an approximate (limit) relationship between two distribution families. A solid line indicates an exact relationship: special case, sum, or transformation. Click on a distribution for the parameterization of that distribution. Click on an arrow for d
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Confidence interval - Wikipedia