Day 1 — Machine Learning System Design: The 6 Basic Steps to Approach Machine Learning System Design
Telling about Machine Learning self study. What to Expect in a Machine Learning System Design: Insights and Examples
Key Takeaways for Preparing for a Machine Learning Interview
Leading tech companies, such as Facebook, LinkedIn, Google, Amazon, and Snapchat, expect Machine Learning engineers to have a solid engineering foundation and hands-on Machine Learning experience. This is why interviews for Machine Learning positions follow a similar structure to traditional software engineering interviews. The process usually involves assessing candidates on algorithm problem-solving (Leetcode-style), system design, as well as their knowledge of machine learning and machine learning system design.
The standard development cycle of machine learning comprises data collection, problem formulation, model creation, model implementation, and model enhancement. During the interview, companies aim to comprehensively evaluate a candidate’s proficiency in these areas. While there are plenty of resources available on training machine learning models and deploying them with various tools, there is no unified guideline for approaching end-to-end machine learning system design. This inspired the creation of this course.
