Reading Time: 4 Minutes ReadAutoML is an exciting new trend in the Machine Learning (ML) industry. It revolves around analyzing data automatically and getting meaningful insights with minimum effort. By using the ingested data it is also capable of building models which can later be used as predictors for new data points.
What is AutoML and what is it used for?AutoML is a recent artificial-intelligence-based solution which has started to gain popularity because of its easy application and great variety of use cases. The core idea – as indicated by the name Automated Machine Learning – is that you can apply ML to real-life problems even if you’re not highly skilled in this field. Due to the high degree of automation involved, this new solution can be exciting and useful if you don’t want to become an expert in ML but want to apply it to a real-life problem you’re facing. The key idea behind AutoML is that you take your data, ingest it into a piece of software or service which automatically analyzes the data. Then the system gives you a fully implemented machine learning model. You can use this model for anything that an ML model can be used for, for example to predict target values from features, for basic classification or regression problems, for object detection in visual data etc.
AutoML and Google CloudNow let’s dive into Google Cloud AutoML specifically. Google Cloud AutoML has a wide range of services:
- AutoML Vision ‒ for object detection using pretrained models and custom image classification.
- Video intelligence API ‒ for classifying video segments and object tracking in videos
- AutoML Natural Language and AutoML Translation ‒ for processing and translating textual data.
- AutoML Tables ‒ for prediction and classification from structured data, like databases or spreadsheets.
- Proof of concept
- Baseline model
- Deploy to production