Why should we care about data structures in data science? In this short article, I discussed the building blocks of data in Python and summarized the most important things about Python's native data structures, NumPy, and Pandas.
Category: Learning Journal
This learning journal aims to summarize the essence of the Stanford Machine Learning coursework in a way that (hopefully) most people new to AI would understand & appreciate. Additionally, I inserted lots of fun comments & graphs to clarify concepts and/or make them more relatable.
"A journey of a thousand miles begins with a single step." There is a lot to learn on this data science journey, but AI frontrunner, Stanford professor, Andrew Ng's T-shaped learning framework can serve as a guiding light for all who are new to AI.