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In the previous three articles, I explained the mechanism of PCA from scratch. Because you have the experience of manual calculations with NumPy, you understand what the library is doing behind the ...

In this article, we will uncover how the information compression lurking behind rankings and recommendations creates blind spots in our decision-making. We will examine how the world looks different ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

Sparse Component Analysis (SCA) is an unsupervised dimensionality reduction method that can recover latent factors corresponding to distinct computations, from high dimensional neural activity. This ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

NEWARK − Packaging Corp. of America once again plans to move from its South 21st Street location, investing $229 million to build a new facility on a 78-acre site on Thornwood Drive. The location, ...