Mastering Dynamic Programming II
Manual tabulation and workout is a great way to start grokking, analyzing, and spotting patterns, as well as strengthening our understanding and intuitions
Hello and welcome back to Mastering Dynamic Programming.
In the earlier post on Mastering Dynamic Programming, we went through the fundamentals of dynamic programming, its characteristics, and key attributes.
As dynamic programming is often one of the types of questions appearing in technical coding assessments conducted for the data scientist, machine learning engineer, or software engineer roles, we talked about how to identify and know when to apply dynamic programming.
We also explored the differences between the top-down and bottom-up approaches, and following that, we learned how to solve dynamic programming problems by running through three examples that include detailed explanations and solutions.
If you have missed the earlier post on Mastering Dynamic Programming, visit the link below to learn more.
