Clean Code for Data Scientists - MLOps Coffee Sessions
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore clean code practices for data scientists in this insightful MLOps Coffee Sessions podcast episode featuring Matt Sharp, Data Developer at Shopify. Gain valuable insights into Shopify's real-time serving platform, Merlin, which powers recommender systems, inbox classification, and fraud detection. Discover Matt's journey from chemical engineering to data science and data engineering, and learn about his upcoming book on LLMs in production. Delve into topics such as the definition of clean code, transitioning from Jupyter notebooks, exploratory data analysis, and best practices for production-level software engineering. Understand the importance of communicable clean code and how it can enhance your career as a data scientist. Get a sneak peek into upcoming Shopify projects and learn about the early access opportunity for Matt's LLMs in Production book.