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

Congratulations! We successfully completed the "**Grokking the Machine Learning Interview**" module. 🎉

## Summary
Starting with the practical concepts and techniques needed for a job, we covered the solution approach for several problems in various real-life systems. 

## Takeaways

- We learned the basics of machine learning concepts and techniques needed by a software engineer.
- We learned about how to implement image recognition with machine learning.
- We covered the natural language processing techniques in detail.
- We applied our learnings into end-to-end industry-standard real-life machine learning projects using various techniques, notably Keras.
- Finally, we covered the real-life system design for machine learning projects and prepared ourselves for a job interview.
____

Great job! You're now a professional **Machine Learning Engineer**.

Congratulations! We successfully completed the "**Grokking the Machine Learning Interview**" module. 🎉

# Summary
Starting with the practical concepts and techniques needed for a job, we covered the solution approach for several problems in various real-life systems. 

# Takeaways

- We learned the basics of machine learning concepts and techniques needed by a software engineer.
- We learned about how to implement image recognition with machine learning.
- We covered the natural language processing techniques in detail.
- We applied our learnings into end-to-end industry-standard real-life machine learning projects using various techniques, notably Keras.
- Finally, we covered the real-life system design for machine learning projects and prepared ourselves for a job interview.
____

Great job! You're now a professional **Machine Learning Engineer**.

Here's a quick summary of the "Grokking the Machine Learning Interview" module

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

Final Remarks

Summary