AWS AI Services Explained: 13 Ready-to-Use ML Capabilities
AWS's machine learning lineup can be overwhelming. This guide covers the AI Services layer: 13 ready-made use cases you can call via API, no model training needed.
What Is Parallel Programming? A Beginner's Guide
Learn what parallel programming is, how it differs from traditional single-threaded (serial) code, and why today's multi-core hardware makes it essential for engineers.
LINE Bot Tutorial: Build Your First Echo Bot
Learn to build your first LINE chatbot with Python and Django: install the SDK, configure Channel credentials and a Webhook, then deploy the Echo Bot to Heroku.
What Is Heroku, and How Is It Different From AWS?
Heroku looks like the fast way to ship an app, but it actually runs on top of AWS. This post explains Heroku, Dynos, and why teams choose a PaaS over AWS directly.
How to Create a LINE Bot in LINE Developers
A step-by-step guide to registering a LINE Developers account, creating a Provider and Channel, and enabling the Webhook so your own code can reply to users.
Deploying a Django App to Heroku on macOS
A hands-on Heroku walkthrough: create a conda virtual environment on macOS, install Django and gunicorn, and push a brand-new Django app live step by step.
Model Inference: The Final Step in the Machine Learning Workflow
The last step in the ML workflow is model inference: deploying a trained model and running predictions. See how it differs from training, plus Pruning and Quantization.