Run-Time Optimization

Why Pandas DataFrame Iteration is Slow?

No, vectorization is not the answer!

Apr 11 •

Condense Random Forest into a Decision Tree

Preserve generalization power while reducing run-time.

Apr 9 •

A Beginner-friendly Guide to Multi-GPU Training

Learn how to scale models using distributed training.

Apr 6 •

Transform Decision Tree into Matrix Operations.

Make classical ML models deployment friendly.

Mar 31 •

11 Powerful Techniques to Supercharge Your ML Models

Take your ML models to the next level.

Mar 22 •

The Probe Method: An Intuitive Feature Selection Technique

Introduce a bad feature to remove other bad features.

Mar 19 •

Breathing KMeans vs KMeans

Robustify KMeans with centroid addition and removal.

Mar 16 •

Implementing LoRA from Scratch for Fine-tuning LLMs

Understanding the challenges of traditional fine-tuning and addressing them with LoRA.

Feb 26 •

Mixed Precision Training

Train large deep learning models efficiently.

Feb 25 •

Approximate Nearest Neighbor Search Using Inverted File Index

Speedup traditional kNN.

Feb 24 •

Cython: An Under-appreciated Technique to Speed-up Native Python Programs

...within minimal effort.

Feb 12 •

A Common Mistake That Many Spark Programmers Commit and Never Notice

Extend your learnings from Pandas to Spark with caution.

Jan 29 •

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