Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

A Bayesian decoder was employed to calculate the posterior probabilities of all position bins. This method assumes that transient counts follow a Poisson distribution and combines transient counts and ...

Sportsbook margins are under constant pressure, but smarter use of data is changing the game, that is the assessment of a ...

Characterization of intracellular synapse heterogeneity aides to understand the intricate computational logic of neuronal circuits. Despite recent advances in connectomics, the spatial patterns of ...

Scikit-learn, PyTorch, and TensorFlow remain core tools for structured data and deep learning tasks.New libraries like JAX, ...

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Cell clustering serves as a key task in transcriptomic data analysis, playing a crucial role in cell type annotation, marker gene identification, and the discovery of rare cell populations. With ...

Aim This study evaluates if characteristics (eg, location, size, volume) of clusters of defects on an initial visual field ...

Traditional clustering methods often fail when faced with complex, non-linear data patterns. This is where density-based clustering comes into play.

Eventual's data processing engine Daft was inspried by the founders' experience working on Lyft's autonomous vehicle project.

North Korean Hackers Are Targeting Top Crypto Firms With Malware Hidden in Job Applications A DPRK-linked group is using fake job sites and Python malware to infiltrate Windows systems of ...