How can Google Cloud AutoML boost your business? Find out!

[shuklarani621]

The growth of artificial intelligence is requiring companies to truly transform their processes and ways of working. And this is where Google Cloud AutoML can emerge as an innovative solution.

To give you an idea, the global machine learning market is growing at a compound annual rate of 42.2% per year, and is expected to reach a value of US$390.9 billion by 2025 , according to Grand View Research .

This data shows that there is no way to ignore this technology, otherwise your business could disappear in a short period of time.

By the way, Google Cloud AutoML makes it possible to train high-quality models specific to the business need, even if developers do not have advanced machine learning (ML) experience.

In this article, we will explain in more detail the features of this employment database platform, its tools and when you can use them. Enjoy reading!

What is AutoML?
AutoML, or Automated Machine Learning, is a field of data science that aims to automate the tedious and complex tasks involved in applying machine learning. These tasks include data preprocessing, feature and model selection, hyperparameter tuning, and model validation.

In a typical machine learning process , data scientists need to manually perform several tasks, such as choosing the right learning model, tuning its hyperparameters, and performing cross-validation to ensure robustness.

All of this work is time-consuming and requires a deep understanding of algorithms and how they work.

In this sense, AutoML's proposal is to simplify this process, using methods such as Bayesian optimization, genetic algorithms or neural network architecture search to automatically perform these procedures and generate an optimized model.

This is a feature that is even available from Google to help developers. We will talk about this Big Tech platform below.

What is Google Cloud AutoML?
Google Cloud AutoML is a suite of machine learning services from Google. These tools enable developers to train high-quality custom models, even with little expertise in the field. This solution automates parts of the process, such as data preprocessing, model selection, hyperparameter tuning, and model validation.

Google Cloud AutoML services are divided into 4 categories:

Vertex AI (artificial intelligence)
Structured data
Vision
Language
Within each of them, there are specific tools for companies. Follow us to learn more about them.

Read also:

Google My Business: a solution to increase brand visibility
Cloud systems integration: why is it so important?
What tools does Google AutoML offer?
Now that we've talked about the main categories, it's worth checking out the features each of them offers its users.