BigQuery ML Video: Harness the Power of Artificial Intelligence for Your Data

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In today's data boom it is essential to have tools that let you analyse and interpret huge volumes of data efficiently.

BigQuery ML is an innovative and powerful tool developed by Google. It combines large-scale data analysis with machine learning directly within Google's popular cloud data warehouse, BigQuery. The platform offers a unique possibility of analysing and modelling data without having to move the data to external machine learning tools. BigQuery ML allows data scientists, analysts and developers to create, train and deploy machine learning models using only the SQL language, without having to deal with the complex implementation and infrastructure tasks associated with machine learning. This simplifies the process and increases the efficiency of data analysis. The tool is ideal for organisations that want to use their data quickly and efficiently to obtain valuable insights and predictive models and turn them into strategic decisions.

With BigQuery ML you can achieve high accuracy and use this power, for example, to personalise marketing campaigns or to forecast sales.

We are not lagging behind either, and we have started to get to know this tool. In the following two videos you can see our first steps.

1st video → Getting started with BigQuery ML

In the first lab we used a dataset containing millions of Google Analytics records loaded into BigQuery to train a logistic regression model that can classify customers according to whether or not they make a transaction.

1st video → Getting started with BigQuery ML

In the first lab we used a dataset containing millions of Google Analytics records loaded into BigQuery to train a logistic regression model that can classify customers according to whether or not they make a transaction.

2nd video → Predict Visitor Purchases with a Classification Model in BigQuery ML

In the second lab we looked at how data can be used to predict whether a new user is likely to buy in the future or not.

2nd video → Predict Visitor Purchases with a Classification Model in BigQuery ML

In the second lab we looked at how data can be used to predict whether a new user is likely to buy in the future or not.