Category: AI
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Lessons learnt with a Google engineer to leverage data for business
Leverage data and Machine Learning for business. Lessons learnt with a Google Engineer about real-world implementations.
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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”.
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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.
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Fuzzy Matching Demo: Inconsistent Company Names
Fuzzy matching use case. We improve data quality when loading data into BigQuery using Trifacta software, which simplifies the process.
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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.
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Customer Churn Demo
This post explains how to predict customer churn, a typical Machine Learning use case, using Google Cloud services.