George Shakan
Math and Machine Learning Blog.
- By George Shakan
- Based in United States of America
- Roughly seven posts per year
- First post on
Posts per year
| Year starting | Posts |
|---|---|
| 2020 | 5 |
| 2021 | 4 |
| 2022 | 4 |
| 2023 | 12 |
| 2024 | 1 |
Any gaps could be due to errors when fetching the blog’s feed.
Most recent posts
In this somewhat different post, I am hosting the long-running Carnival of Mathematics. First I’ll talk about 223 (the issue number) and then I’ll round up some mathematical posts from December 2023. It’s primetime we …
In Machine Learning, and in particular Generative AI, temperature is a useful hyperparameter for tuning model outputs. In this post, we will discuss the following. Temperature is a parameter developers can use to alter outputs …
Principal Component Analysis (PCA) is a popular technique in machine learning for dimension reduction. It can be derived from Singular Value Decomposition (SVD) which we will discuss in this post. We will cover the math, …