Tag: ML
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.
Fuzzy Matching or Approximate String Matching
Fuzzy matching is a technique used to match text strings that may be less than 100% perfect. We use it in web searches, data quality, etc.
Customer Churn Demo
This post explains how to predict customer churn, a typical Machine Learning use case, using Google Cloud services.
What AI is
This post explains what Artificial Intelligence means, and the types of Artificial Intelligence.
