Congratulations, you’ve successfully finished the module “Machine Learning System Design.”
Summary#
Starting with the basics of machine learning, we learned about feature selection and engineering, training pipeline, inference, and metrics evaluation. This knowledge will help you stand out in interviews.
Takeaways#
- We reviewed the fundamentals of designing distributed systems.
- We got an overview of how to design the architecture of scalable web applications.
- We revisited the concepts required for designing a system.
- We got a brief overview of the system design building blocks on which a scalable system stands
- We brushed up our system design skills by applying what we learned in this Path to solve real-world system design problems, such as designing YouTube, Google Maps, Google Docs, Uber, WhatsApp, and so on.
- We learned how to design systems based on machine learning.
Congratulations! Now you are ready for system design interviews.
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