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.
Tag: data science
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.
In 2018 summer, I decided to disrupt my career by leaving my actuarial science comfort zone and take a new role in data science. In the next two years, I will document my data science journey and write learning journals to gather pearls of wisdom in #dataScience, #machineLearning, #AI, and other cool things I learned along the way. I hope my journals will serve as an effective learning & motivation tool for myself and others who are also interested in this career path.