Understand model techniques along with the best practices in applying ML models in production at scale.

Deep Dive into System Design Interview

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.

Machine Learning System Design

# 1. What should you expect in a machine learning interview?
- Most major companies, i.e. Facebook, LinkedIn, Google, Amazon, and Snapchat, expect Machine Learning engineers to have solid engineering foundations and hands-on Machine Learning experiences. This is why interviews for Machine Learning positions share similar components with interviews for traditional software engineering positions. The candidates go through a similar method of problem solving (Leetcode style), system design, knowledge of machine learning and machine learning system design.

- The standard development cycle of machine learning includes data collection, problem formulation, model creation, implementation of models, and enhancement of models. It is in the company’s best interest throughout the interview to gather as much information as possible about the competence of applicants in these fields. There are plenty of resources on how to train machine learning models and how to deploy models with different tools. However, there are no common guidelines for approaching machine learning system design from end to end. This was one major reason for designing this course.

# 2. How will this course help you?
 
In this course, we will learn how to approach machine learning system design from a top-down view. It's important for candidates to realize the challenges early on and address them at a structural level. Here is one example of the thinking flow.











 Learn how to approach Machine Learning System Design.

Introduction

Learn how to approach Machine Learning System Design.

Machine Learning Primer

Video Recommendation

Feed Ranking

Ad Click Prediction

Rental Search Ranking

Estimate Food Delivery Time

Machine Learning Knowledge

Machine Learning Model Diagnosis

Conclusion

Introduction

1. What should you expect in a machine learning interview?