The limitations of linear regression and how GLMs solve them.
A clever technique to optimize the deduplication algorithm.
A lesser-known technique to identify feature missingness.
Understanding the challenges of traditional fine-tuning and addressing them with LoRA.
Train large deep learning models efficiently.
Speedup traditional kNN.
Get rid of useless neurons.
Speedup machine learning model training with little effort.
An underrated gem of Python OOP.
The elegance of dot notation combined with the power of getters and setters.
A counterintuitive phenomenon while training ML models.
...that data scientists use 95% of the time.
