Ad Prediction Problem - Grokking the Machine Learning Interview

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Grokking the Machine Learning Interview

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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

Breakout Session

Practical ML Techniques/Concepts

3.Search Ranking

Problem Statement Metrics Architectural Components Document Selection Feature Engineering Training Data Generation Ranking Filtering Results

Breakout Session

Search Ranking

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

Breakout Session

Movie/Show Recommendation System

Mock Interview

People You May Know System

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

Mock Interview

Harmful Content Detection System

8.Ad Prediction System

Problem Statement Metrics Architectural Components Feature Engineering Training Data Generation Ad Selection Ad Prediction

Breakout Session

Ad Prediction Problem

Mock Interview

Machine Learning Fundamentals

Mock Interview

Visual Search System Design

Mock Interview

ETA System Design