Menjamurnya portal berita online adalah sejauh yang Saya ingat sekitar tahun 2010an, tahun tersebut adalah ketika naik sekolah dari SMP ke SMA. Di tahun itu saya mulai sering membuka situs situs berita online seperti kompas.com, viva.co.id, detik.com, dan masih banyak lainnya. …

A note on reading Designing Data-Intensive Application by Martin Kleppmann. Let’s start from the motivation or urgency why I need to read this book. The company that I work for started to develop and productionize data product. In order to do so, I have wonder on how to build such…

This article provides a step by step on how to deploy machine learning API using FastAPI and GCP Stack. Please make sure that you have enabled these GCP Services: Cloud Artifacts Cloud Build Cloud Run Cloud Storage Dependencies: google-cloud-cli. installation Docker Desktop [Windows] [Mac] [Linux] pip install -r requirements.txt This…

This article demonstrates a basic configuration for CI/CD on Gitlab. Continous Integration and Continous Development are terms that describe an end-to-end process from several changes in development to production environment. CI/CD automates all the work for code integration such as integration test, unit test, and regression test, as well as…

This article guides you to get a brief understanding of using PytorchLightning. This article is also a perfect journaling on how I learn something new or something that I learnt in the past and revisit the tool that may change as time goes on. If you ask why writing another…

This is a brief post about me getting back to machine learning research field. After a long break almost a year and half, doing other things (mostly work) and not keeping up with current trends esp. LLM, I need to unpack all of those. Things that I noticed for a…

In this article, We will discuss the potential risk of developing machine learning model and how MLOps is a part of solution to mitigate the issues. Practical MLOps by Valohai introduce three main types of risks that MLOps workflow can handle: Loss of Knowledge Failures in Production Regulatory and Ethical Loss of Knowledge …

In this article, we will walk through some of the most popular methods to interpret machine learning models. These methods are model-agnostic. But I can say that most of these methods are also rely heavily on interpretable algorithms such as regression, tree-based model, or probabilistic model. This article is highly…

Locust is a load testing tool to check the behavior of the system. The aim of load testing is to know how the system responds given the number of loads. In this experiment, I built a simple sentiment classification model using Random Forest and Locust as the load testing tool. …