Top 5 Mistakes of Greenhorn Data Scientists. Jun 30, 2018·6 min read

This article examines 5 common mistakes of early Data Scientists. The list was assembled together with Dr. Sébastien Foucaud, who has >20 years of experience in mentoring and leading young Data Scientists in both academia and industry. This post aims to help you better prepare for your work in real-life.

Top 5 mistakes:

1. Enter “Generation Kaggle”
2. Neural Networks are the cure to everything

3. Machine Learning is the Product

4. Confuse Causation with Correlation

5. Optimize the wrong metrics

 

Pročitajte više