Machine Learning - Gojek Tech

Finding Intelligence with Turing

In the finale of our series on Gojek’s ML platform, we take a first look at Gojek’s brand new ML testing system.

An overview of how Gojek’s data scientists build algorithms for the complex use cases we encounter every day.

Unpacking Augur, Gojek’s ML-based serviceability service for an improved food ordering experience.

A breakdown of the open-source machine learning feature store developed by Gojek with Google Cloud.

How we manage scheduling and automation of ML pipelines in Kubernetes.

Kubernetes-friendly ML model management, deployment, and serving.

Common problems related to Data Science and how our Machine Learning Platform aims to solve them.

How Gojek uses machine learning to personalise search results in GoFood.

Deconstructing GO-FORECAST, our automated tool for reliable forecasts taking into account exogenous variables.

Understanding the what and why of Batch Normalization

Building Jaeger: Our driver allocation system harnessing Machine Learning and real-time features to optimise multiple business objectives

How we built an algorithm that could identify and differentiate clusters as intuitively as the human eye

My first experiences at GO-JEK

On April Fools day our app disappeared from the Apple Store