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A Data Scientist GenAI Survival Guide

KDnuggets

This guide emphasizes the growing significance of GenAI but also highlights the crucial role that data scientists play in harnessing this technology to solve real-world problems.

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Top SQL Queries for Data Scientists

KDnuggets

SQL seems like a data science underdog compared to Python and R. I’ll show you here how you can use it as a data scientist. However, it’s far from it.

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Lessons from a Senior Data Scientist

KDnuggets

The aim of this article was for me to gain a deeper insight into the life of a senior data scientist and how their experience can be used as lessons for up-and-coming data scientists.

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10 Python Libraries Every Data Scientist Should Know

KDnuggets

Want to take the next step in your journey to becoming a data scientist? Check out these Python libraries for data science that you can't do without.

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15+ Github Machine Learning Repositories for Data Scientists

Analytics Vidhya

Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning – it would be GitHub.

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Why Machine Learning Engineers are Replacing Data Scientists

KDnuggets

The hiring run for data scientists continues along at a strong clip around the world. But, there are other emerging roles that are demonstrating key value to organizations that you should consider based on your existing or desired skill sets.

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5 Statistical Paradoxes Data Scientists Should Know

KDnuggets

Knowing these 5 statistical paradoxes is essential for data scientists to improve their analyses and machine learning models.