The Future of AI in Data Science

Introduction

Artificial Intelligence is evolving rapidly. In this post, we explore the intersection of traditional data science and modern AI techniques.

Key Takeaways

1. Automation: Routine tasks are being automated.
2. Augmentation: Data scientists are becoming more productive.
3. New Frontiers: Generative AI opens new possibilities.

Code Example

Here is a Python snippet using pandas:

import pandas as pd

df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
print(df.mean())

Math Example

We can use LaTeX to express complex formulas:

$$E = mc^2$$