You may be familiar with the overclocking that is a technique used to increase a component’s clock speed beyond the specifications of manufacturers to improve performance. To get high overclocks, you choose to overvolt CPU or increase the voltage. However, this causes high power consumption and heat.

In this case, you need to undervolt CPU. What is undervolting? It refers to reducing the standard working voltage of the electronic chip. Undervolting CPU is a process to reduce the voltage that’s going to the CPU; it can lower the heat and increase battery life. But this won’t noticeably affect performance although you are doing high-intensity activities like gaming.

Here comes a question: can undervolting damage CPU? Undervolting doesn’t damage the CPU but overdoing it can lead to an unstable system. So, use it carefully.

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Accessible explanation of the logic principal component analysis and an example of how companies can use PCA in finance.
In a recent post, we covered one of the most widely used data clustering algorithms K-means.

Here, we’ll shed some light on a bedrock technique for dimensionality reduction (applied extensively in probability and statistics) – principal component analysis (PCA).

What’s curious about PCA is that it’s not a dimensionality reduction method per se, despite mostly being advertised as such. Actually, it transforms data in a certain way to make it amenable to reduction later.