Grokking the Machine Learning Interview

Course Overview

System design is an important component of any ML interview. Being able to efficiently solve open-ended machine learning problems is a key skill that can set you apart from other engineers and increase the level of seniority at which you’re hired. This course helps you build that skil... See More

How You'll Learn

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Faster than videos

Videos are holding you back. The average video tutorial is spoken at 150 words per minute, while you can read at 250. That‘s why our courses are text-based.

Progress you can show

Built in assessments let you test your skills. Completion certificates let you show them off.

Course Contents

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1. Introduction

How Does This Course Help in ML Interviews?

Setting up a Machine Learning System

2. Practical ML Techniques/Concepts

Performance and Capacity Considerations

Training Data Collection Strategies

Online Experimentation

Embeddings

Transfer Learning

Model Debugging and Testing

3. Search Ranking

Problem Statement

Metrics

Architectural Components

Document Selection

Feature Engineering

Training Data Generation

Ranking

Filtering Results

4. Feed Based System

Problem Statement

Metrics

Architectural Components

Tweet Selection

Feature Engineering

Training Data Generation

Ranking

Diversity

Online Experimentation

5. Recommendation System

Problem Statement

Metrics

Architectural Components

Feature Engineering

Candidate Generation

Training Data Generation

Ranking

6. Self-Driving Car: Image Segmentation

Problem Statement

Metrics

Architectural Components

Training Data Generation

Modeling

7. Entity Linking System

Problem Statement

Metrics

Architectural Components

Training Data Generation

Modeling

8. Ad Prediction System

Problem Statement

Metrics

Architectural Components

Feature Engineering

Training Data Generation

Ad Selection

Ad Prediction