Learn to design real machine learning systems with the help of several open-ended machine learning problems.

Become a Machine Learning Engineer

Learn to design real machine learning systems with the help of several open-ended machine learning problems commonly asked during interviews at big tech companies. You will start by identifying the problem statement, understanding scale and latency requirements and defining metrics. Then you will come up with the architecture, select models, gather data and finally execute and evaluate the models offline and online.

Grokking the Machine Learning Interview

# The rise of machine learning

Machine learning (ML) has been one of the fastest-growing fields, and it is projected to grow from $7.3B in 2020 to $30.6B in 2024. Machine learning aims at solving a multitude of complex problems and has seen rapid progress in several areas such as speech understanding, visual understanding, search ranking, credit card fraud detection, and so on.


As a result of these major developments, machine learning usage and jobs have grown massively in the last few years and are [expected to grow](https://www.forbes.com/sites/louiscolumbus/2020/01/19/roundup-of-machine-learning-forecasts-and-market-estimates-2020) even faster in the upcoming years.

# What to expect in a machine learning interview?
Companies hiring for machine learning roles conduct interviews to assess individual abilities in various areas. You can expect the following topics to be covered in these interviews:

Learn how this course will prepare you for the machine learning system design interview at any technology giant.

Before We Begin

Introduction

Practical ML Techniques/Concepts

Search Ranking

Feed Based System

Recommendation System

Self-Driving Car: Image Segmentation

Entity Linking System

Ad Prediction System

Conclusion

How Does This Course Help in ML Interviews?

The rise of machine learning

What to expect in a machine learning interview?