Automated machine learning
Automated machine learning (AutoML) is a burgeoning field that aims to automate complex aspects of ML workflows, allowing for more efficient and accessible deployment of ML models. The advent of AutoML reflects the increasing sophistication of artificial intelligence and ML technologies and their permeation into various industry and research sectors. It aims to alleviate some of the complex, time-consuming aspects of the data science process, allowing for broader usage and more accessible application of ML technologies.
For software engineers well versed in ML and data science processes, the increasing complexity of ML models and the expanding universe of algorithms can pose a significant challenge. Building a robust, high-performing model requires substantial expertise, time, and computational resources to select suitable algorithms, tune hyperparameters, and conduct in-depth comparisons. AutoML has emerged as a solution to these challenges, aiming to...
