50+ days of Machine Learning

 Hello :) Today is Day 191! A quick summary of today: today I started a book from Manning - Effective Data Science Infrastructure Below is a summary of the topics covered up to and including chapter 3. To enhance data scientists' productivity, prioritize a well-structured development environment over solely focusing on scalable production infrastructure. Many companies overlook this, managing code development, debugging, and testing haphazardly. Effective development environments, integral to infrastructure, enhance productivity by focusing on ergonomics, defined as optimizing efficiency in the working environment. Key activities to optimize include: 1. Prototyping - Translating expertise into functional code and models. 2. Interaction with Production Deployments - Connecting code and models to systems to generate business value. The prototyping loop (similar to the REPL loop in software engineering) involves developing, evaluating, and analyzing code iteratively. To boost producti