Dimensionality reduction | BigTechMentor

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Preparing For The AI/ML System Design Interview

About the interview

Intro (0:53)
Who am I? (1:22)
Three signals (1:02)
Preparing for the interview (3:50)

Interview System

Having a system helps you prep, manage time, and show the signals (6:19)
Tradeoffs and justifications (2:44)

Clarification

What makes a good assumption or question? (1:48)
Different categories of questions (1:18)
Business considerations (0:24)
ML considerations (0:34)

Big Picture System Design

Landscape overview (0:43)
Non-ML components (1:37)
Problems (1:46)

Data and Features

Where do data come from? (0:31)
Splitting dataset (holdout set, cross validation, temporal split) (2:31)
How do you encode each feature? (3:03)
Data sensitivity: privacy, sensitive subjects (1:52)
Balancing (1:08)

Modeling

Determine what kind of problem you want to solve (1:52)
Baseline Model (2:18)
Metrics (3:06)
Other things to know: Hyperparameter tuning (1:33)
Other things to know: Troubleshooting and regularization (0:58)
Other things to know: Techniques that sometimes come up (2:50)

Modeling (In-Depth)

Classification Problems (1:13)
Regression models (1:28)
Activation functions (1:08)
Time Series models (1:14)
Unsupervised learning (0:46)
Dimensionality reduction (2:11)

Other Considerations

This is the time to score extra credit, what are YOU good at? Pick one (3:35)

Asking Good Questions

Don't forget to ask your interviewer (4:37)

Final thoughts

Have a system (4:13)

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Dimensionality reduction

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