What is faster in a transactional database:

Why do we need an analytics storage separated from transactional?

What is the best approach to read last committed data without locking in RDBMS?

You are training a medical diagnostic classification model to detect a rare deadly disease. It is important to identify as many people who actually have the disease as possible, even if it means some healthy people are incorrectly flagged. Which evaluation metric should you focus on?

What was the initial LeNet-5 neural network use case?

What operation should you perform on every value of a numerical variable to make its average exactly equal to zero, while preserving its variance?

What will happen when this code runs?

def counter_decorator(func):
    count = 0

    def wrapper(*args, **kwargs):
        nonlocal count
        count += 1
        print(f"Call #{count}")
        return func(*args, **kwargs)

    return wrapper


@counter_decorator
def greet(name):
    print(f"Hello, {name}!")


greet("Alice")
greet("Bob")