AI/ML Research

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A Gentle Introduction to SHAP for Tree-Based Models

Machine learning models have become increasingly sophisticated, but this complexity often comes at the cost of interpretability.

2 days ago

Using Quantized Models with Ollama for Application Development

Quantization is a frequently used strategy applied to production machine learning models, particularly large and complex ones, to make them…

3 days ago

Tokenizers in Language Models

This post is divided into five parts; they are: • Naive Tokenization • Stemming and Lemmatization • Byte-Pair Encoding (BPE)…

4 days ago

10 Python Libraries That Speed Up Model Development

Machine learning model development often feels like navigating a maze, exciting but filled with twists, dead ends, and time sinks.

4 days ago

Selecting the Right Feature Engineering Strategy: A Decision Tree Approach

In machine learning model development, feature engineering plays a crucial role since real-world data often comes with noise, missing values,…

5 days ago

Using NotebookLM as Your Machine Learning Study Guide

Learning machine learning can be challenging.

6 days ago

Encoders and Decoders in Transformer Models

This article is divided into three parts; they are: • Full Transformer Models: Encoder-Decoder Architecture • Encoder-Only Models • Decoder-Only…

1 week ago

A Gentle Introduction to Word Embedding and Text Vectorization

"I'm feeling blue today" versus "I painted the fence blue.

1 week ago

Understanding OpenAI Codex CLI Commands

We have seen a new era of agentic IDEs like Windsurf and Cursor AI.

1 week ago

10 Underrated Books for Mastering Machine Learning

If you've been into machine learning for a while, you’ve probably noticed that the same books get recommended over and…

1 week ago