Nem todo problema precisa de Machine Learning
📰 Medium · Data Science
Not every problem requires machine learning, and exploratory analysis can be enough to support business decisions
Action Steps
- Conduct exploratory data analysis to understand the problem
- Determine if a machine learning model is necessary
- Build a predictive model only if necessary
- Evaluate the results of the exploratory analysis and predictive model
- Use the insights to support business decisions
Who Needs to Know This
Data scientists and business analysts can benefit from understanding when to apply machine learning and when to use simpler methods, to make more effective decisions
Key Insight
💡 Exploratory analysis can be sufficient to inform business decisions, and machine learning should only be used when necessary
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💡 Not every problem needs ML! Exploratory analysis can be enough to support business decisions
Key Takeaways
Not every problem requires machine learning, and exploratory analysis can be enough to support business decisions
Full Article
Uma análise exploratória e um modelo preditivo para entender a demanda por jogos de tabuleiro e apoiar decisões de negócio Continue reading on Medium »
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