Tag: BigQuery
Héctor Parra – A Google Engineer and the exciting realities of ML
“The COVID pandemic has spoiled many forecasting models. We can’t use historical data to predict a scenario that has never happened before. Many companies have not included data from 2021 to train their models because it’s biased”.
K-Means Clustering: A Simple Explanation
Post with an infographic to explain how to use K-Means Clustering from a citizen, intuitive point of view. It adds uses cases and next steps.
Customer Churn Demo
This post explains how to predict customer churn, a typical Machine Learning use case, using Google Cloud services.
A brief introduction to BigQuery’s architecture
This post helps to understand BigQuery’s internal design and how efficiently to load, replicate or migrate data into it.
Retrieve meteorological information from AEMET and load it into BigQuery
This post explains how to download meteorological information from the Spanish Meteorological Agency and load it into BigQuery.
