Learn how I use CI/CD with Docker and a self-hosted IONOS VPS to effortlessly update and manage my blogfolio! From automated builds with GitHub Actions to seamless deployments with Docker Compose, this setup makes maintaining any website stress-free and efficient .

After learning how NLP and Word Vectoring works, today we'll be diving into creating our own word vectoring system in Python. From cleaning and preprocessing text data to using pre-trained embeddings like Word2Vec and GloVe, and even training your custom models, this guide covers it all. We also explore advanced contextual embeddings using BERT, giving you the tools to tackle modern NLP challenges. Perfect for beginners and enthusiasts looking to enhance their NLP projects!

In this post, I explain what Docker is, why it’s essential, and how I used it to build and deploy this very website with a CI/CD pipeline. Featuring examples of Dockerfile and docker-compose.yml, this guide will help you understand how to containerize applications and orchestrate multi-service setups effectively.

Word vectoring is a key technology in natural language processing (NLP) that helps computers make sense of human language. By turning words into mathematical representations, it enables applications like chatbots, sentiment analysis, and machine translation. This technique captures relationships between words—like how "king" relates to "queen"—and opens up endless possibilities for smarter AI systems.