Hussein Lezzaik HusseinLezzaik

What happens in a ML Interview?

Background and culture fit
Whiteboard Coding (similar to SWE interviews)
Pair Coding (similar to SWE-interviews)
Pair debugging (often ML-specific code)
Math puzzles (e.g. involving Linear Algebra)
Take-home ML project
Applied ML (e.g. explain how you'd solve this problem with ML)
Previous ML projects (e.g. probing on what you tried, why things did/didn't work)
ML Theory (e.g. bias-variance tradeoff, overfitting, underfitting, understanding of specific algorithms)

	# Vanilla Crew Scheduling

	# Step 1: Define the flights and crew members, along with the flight times and max work hours.

	# Flight times in hours
	flight_times = {
	"flight_1": 5,
	"flight_2": 3,
	"flight_3": 4,
	}

	## Pip
	```python
	$ pip install package_name==required_version
	$ pip uninstall package_name
	```

	## Install via Brew
	```python
	$ brew install [email protected]
	```