Title: Automated Machine Learning (AutoML) Author: Kriko Published: May 24, 2023 Last modified: Jul 7, 2026 --- 1. [Home](https://kriko.io/) / 2. [Glossary](https://kriko.io/glossary) / 3. A Letter # Automated Machine Learning **(AutoML)** **AutoML**, short for Automated Machine Learning, is an approach used to automate selected stages of the machine learning development process. It can support the preparation, comparison and optimisation of models. Its purpose is to make model development faster, more consistent and more repeatable. AutoML is not a more advanced form of machine learning itself, but a collection of tools and methods that simplify existing machine learning workflows. AutoML tools may automate tasks such as data preparation, feature selection, algorithm comparison and hyperparameter optimisation. The system evaluates different model candidates according to selected performance metrics and highlights suitable options. This reduces the need for users to test every algorithm and parameter combination manually. However, data quality, target definition and metric selection still require professional judgement. The approach can make model development more accessible to users with limited experience in data science or machine learning. Ready-made interfaces and automated workflows reduce part of the technical complexity. Nevertheless, AutoML does not eliminate the need for data science expertise. Model suitability, bias, interpretability and production performance must still be evaluated by qualified professionals. AutoML tests different algorithms and configurations to identify models that perform well according to the selected metric. However, it cannot guarantee the best or completely reliable result in every project. Performance depends on data volume, data quality, problem type and evaluation method. Focusing only on accuracy may also overlook important requirements such as explainability, cost and processing speed. AutoML can be used in software development, finance, marketing, healthcare, manufacturing and data science. Demand forecasting, customer churn analysis, fraud detection and classification are common applications. Automation can reduce the time teams spend on repeated testing and configuration, allowing them to focus more closely on the business problem. When applied correctly, **AutoML workflows** can accelerate model development and make machine learning more accessible. ## Discover it in the dictionary ### A Virtual Private Cloud A Virtual Private Cloud, commonly abbreviated as VPC, is a cloud computing model that provides an isolated and customisable virtual network within a public… ### Gzip Gzip is a widely used compression method designed for file and data compression and supported across different operating systems. Its name comes from “GNU… ### Pareto Principle (80/20 Rule) The Pareto Principle, also known as the 80/20 rule, is an observation and prioritization approach suggesting that a large share of outcomes often comes… ### Customer Journey Map A Customer Journey Map is an analytical tool that visually and systematically shows all the stages in which a customer interacts with a brand,… ### Unique Visitor A unique visitor is a web analytics metric that refers to different users who visit a website within a specific time period. The purpose… ### Churn Rate Churn Rate is an important customer metric that shows the percentage of customers a business loses within a specific period. It is calculated based… ### Content Delivery Network (CDN) A Content Delivery Network, commonly abbreviated as CDN, is a distributed server network that helps deliver website content to users faster, more securely and… ### Encode Encoding is the process of converting information into a specific format or structure so that it can be transmitted, stored or processed by another… ### Crowdsourced Content Crowdsourced content refers to content, ideas, data, designs or solutions created with contributions from a wider community rather than a single internal team. This… ## Track the digital heartbeat with Kriko Subscribe to receive curated insights, news, and ideas shaping the digital landscape. By checking this box, you acknowledge and accept our [privacy policy](https://kriko.io/privacy-policy).