Picture this: you’re a tech-savvy wizard working for a big, bad corporation. You’ve got data coming out of your ears, but you can’t seem to make sense of it all. You’re sweating like a sinner in church, frantically trying to keep up with the data flow, when suddenly – a […]
Exploring Dimensionality Reduction and Data Visualization with PCA in Python
PCA is a technique for transforming a set of correlated variables into a set of linearly uncorrelated variables, known as principal components. The first principal component is the direction in the data with the highest variance, and each subsequent principal component has the highest variance orthogonal to the previous principal […]
PyTorch 101: A Beginner’s Guide to Tensors, Autograd, and Neural Networks
PyTorch is an open-source machine learning library for Python that is widely used in research and industry. It was developed by Facebook’s AI Research group and provides a flexible and efficient platform for building and training deep neural networks. In this overview, we will cover the basics of PyTorch and […]
How Data Science Techniques Are Revolutionizing Research
Data science techniques have become increasingly popular in research, as they allow scientists to analyze complex data sets and uncover hidden patterns and relationships. Let us briefly go over some of the most common data science techniques used in research and how they are used to gain insights and make […]