Optimizing Machine Learning Code in NumPy & SciPy
📣Our first in-person workshop of the term: Optimizing Machine Learning Code in NumPy & SciPy!
📌 As data and problems get bigger, implementing numerical algorithms efficiently is crucial for the modern data scientist to keep up! NumPy and SciPy are among the most common data science libraries to write fast numerical algorithms, but it's easy to use them in a sub-optimal way.
📌 In this workshop, we went over a case-study of writing, benchmarking, and optimizing a machine learning algorithm using NumPy and SciPy.
🌟 Target audience: intermediate NumPy & SciPy users looking to level up their game!
🔗 Link to the slides: bit.ly/optimize-numpy