Blog Category

Data Science

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3 Dirty Secrets of MLOps – The Hidden Costs of Open Source Software & Big Cloud

Victor Thu
A Guide for AI Executives to Accelerate ROI from AI/ML and Avoid Common Delays    The proverbial “best [...]
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MLOps: 5 Common Pitfalls and How to Overcome Them

Aaron Reed
AI GovernanceBusiness ExecutivesData ScientistsMachine LearningML EngineersMLOps
    Tell me if this sounds familiar. Your company decided to use data to solve a problem but new problems [...]
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What is Model Drift

Datatron Technologies
“Change is the only constant in life.” This quote was by a Greek philosopher named Heraclitus, and it’s such an [...]
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Being a Data Scientist in the Modern Era

Datatron Technologies
Traditionally, being a Data Scientist is regarded as a domain exclusive to some people who understand mathematics and [...]
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What is Statistical Bias and Why is it so Important in Data Science?

Datatron Technologies
Image by Arek Socha from Pixabay Introduction Imagine this. You’re running for president and you want to be the [...]
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Basic Statistics You NEED to Know for Data Science

Datatron Technologies
The purpose of this is to provide a comprehensive overview of the fundamentals of statistics that you’ll need to [...]
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What is Exploratory Data Analysis?

Datatron Technologies
Exploratory Data Analysis (EDA), also known as Data Exploration, is a step in the Data Analysis Process, where a number [...]
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Real-life Examples of Discriminating Artificial Intelligence

Datatron Technologies
Artificial Intelligence. Some say that it’s a buzzword that doesn’t really mean much. Others say that it’s [...]
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A Simple Guide to A/B Testing for Data Science

Datatron Technologies
Picture created by myself, Terence Shin, and Freepik Check out my article ‘Hypothesis Testing Explained as Simply as [...]