Module 6 of Path: Deep Dive into System Design Interview
Machine Learning System Design
Module Overview
Machine learning system design is an important component of any machine learning interview. The ability to address problems, identify requirements, and discuss trade-offs can help us stand out among hundreds of other candidates. This module will discuss model techniques, along with best practices in applying scalable machine learning models in production. Once we're done with this module, we’ll be able to apply and leverage knowledge from top researchers at tech companies. We’ll have an up-to-date knowledge of model techniques from hundreds of the latest research and industry papers. We might even be able to impress interviewers once we’ve gone through the lessons of this module.
Module Objectives
Improve your machine learning system design skills.
Apply the best techniques in order to structure and drive your interview.
Get a handle on major components of machine learning systems.
21 Lessons
6 Quizzes
4 Code Snippets
62 Illustrations
Module 5
Contents (Module 6)
Module 5
Contents (Module 6)
1. Machine Learning Primer
2. Video Recommendation
4. Ad Click Prediction
5. Rental Search Ranking
6. Estimate Food Delivery Time
ASSESSMENT 1
Machine Learning Knowledge
ASSESSMENT 2
Machine Learning Model Diagnosis
9. Conclusion
21 Lessons
6 Quizzes
4 Code Snippets
62 Illustrations
