research

A Gentle Introduction to Q-Learning

Reinforcement learning is a relatively lesser-known area of artificial intelligence (AI) compared to highly popular subfields today, such as machine…

2 months ago

Building a Decoder-Only Transformer Model for Text Generation

This post is divided into five parts; they are: • From a Full Transformer to a Decoder-Only Model • Building…

2 months ago

Building a Transformer Model for Language Translation

This post is divided into six parts; they are: • Why Transformer is Better than Seq2Seq • Data Preparation and…

2 months ago

How to Diagnose Why Your Regression Model Fails

In regression models , failure occurs when the model produces inaccurate predictions — that is, when error metrics like MAE…

3 months ago

Implementing Advanced Feature Scaling Techniques in Python Step-by-Step

In this article, you will learn: • Why standard scaling methods are sometimes insufficient and when to use advanced techniques.

3 months ago

Your First Containerized Machine Learning Deployment with Docker and FastAPI

Deploying machine learning models can seem complex, but modern tools can streamline the process.

3 months ago

Building a Seq2Seq Model with Attention for Language Translation

This post is divided into four parts; they are: • Why Attnetion Matters: Limitations of Basic Seq2Seq Models • Implementing…

3 months ago

Beyond Pandas: 7 Advanced Data Manipulation Techniques for Large Datasets

If you've worked with data in Python, chances are you've used Pandas many times.

3 months ago

Image Augmentation Techniques to Boost Your CV Model Performance

In this article, you will learn: • the purpose and benefits of image augmentation techniques in computer vision for improving…

3 months ago

10 Critical Mistakes that Silently Ruin Machine Learning Projects

Machine learning projects can be as exciting as they are challenging.

3 months ago