10 Questions
What search strategies could be used to maximize the outcome of the robbery?
Brute force, dynamic programming, greedy methods
What could be a consequence of not utilizing appropriate search strategies during the robbery?
Obtaining low-value items only
What could potentially hinder the success of robbing the rich house?
The weight limit of the backpack
How could knowledge of evolutionary algorithms be beneficial during the robbery?
By aiding in selecting the most valuable items within the weight limit
What is the main challenge that ML engineers face in many situations?
Picking the best solution that obeys all the constraints
In the given scenario, what is the exit strategy?
Brute force search
What is the impact of adding more items on the brute force strategy?
It grows exponentially
What is the reason given for the unmanageable compute time in real-world scenarios?
The complexity of the items being evaluated
What is the total number of possible combinations for 30 items in the house?
$ = 100,000 $((,((( = 100,000 ∗ 99,999 2!& $((,((( ≈ 100,000& (10 ) = 100,000 ∗ 99,999 ∗ 99,998 3!, $((,((( ≈ 100,000, (1000 )
What is the consequence of exceeding 30 items in the house for the compute time?
It becomes unmanageable
Test your knowledge of multiple search strategies including brute force, dynamic programming, and greedy methods, as well as analytical models such as calculus, and evolutionary algorithms like simulated annealing and genetic algorithms. This quiz also covers the concept of model thinking. Challenge yourself with questions related to these topics!
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