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Udemy - Intro To Dynamic Programming – Coding Interview Preparation - [PaidCoursesForFree]

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Udemy - Intro To Dynamic Programming – Coding Interview Preparation - [PaidCoursesForFree] (Size: 339.3 MB)
  1. What is Dynamic Programming.mp4 9.1 MB
  1. What is Dynamic Programming.vtt 4.4 KB
  10. BONUS LECTURE Problem 9 Maximum Sum of a Contiguous Sub array Problem.mp4 27.1 MB
  10. BONUS LECTURE Problem 9 Maximum Sum of a Contiguous Sub array Problem.vtt 13.5 KB
  11. CORRECTION LECTURE House Robber Problem With the Fixed Base Cases.mp4 27.8 MB
  11. CORRECTION LECTURE House Robber Problem With the Fixed Base Cases.vtt 13.6 KB
  2. Problem 1 Climbing Stairs.mp4 25.8 MB
  2. Problem 1 Climbing Stairs.vtt 12.4 KB
  3. Problem 2 Cutting Rods.mp4 41.8 MB
  3. Problem 2 Cutting Rods.vtt 18.5 KB
  4. Problem 3 House Robber.mp4 42.4 MB
  4. Problem 3 House Robber.vtt 19.5 KB
  5. Problem 4 Best Time To Buy And Sell Stock.mp4 36.5 MB
  5. Problem 4 Best Time To Buy And Sell Stock.vtt 17.6 KB
  6. Problem 5 Maximum Length of Pair Chain.mp4 30.9 MB
  6. Problem 5 Maximum Length of Pair Chain.vtt 30.9 MB
  7. Problem 6 01 Knapsack.mp4 28.4 MB
  7. Problem 6 01 Knapsack.vtt 12.6 KB
  8. Problem 7 Longest Common Sub-sequence.mp4 19 MB
  8. Problem 7 Longest Common Sub-sequence.vtt 7.6 KB
  9. Problem 8 Longest Common Sub-string.mp4 19.4 MB
  9. Problem 8 Longest Common Sub-string.vtt 7.7 KB
  PaidCoursesForFree.com.url 102.4 B
  ▲ 23 total files

Description


Learn Dynamic programming to improve your Algorithms knowledge and prepare for the Software Engineering Coding Interview

What you’ll learn:
* How to Solve a problem recursively
* How to come up with a dynamic programming solution
* How to code a dynamic programming solution
* How to solve frequent 1D and 2D dynamic programming problems

Requirements
* You should have a slight background on recurrences
* It is a plus if you are some what familiar with a modern programming language (C++/Java/Python).

Description
In this course, you will learn how to solve several problems using Dynamic Programming. We will discuss several 1 dimensional and 2 dimensional dynamic programming problems and show you how to derive the recurrence relation, write a recursive solution to it, then write a dynamic programming solution to the problem and code it up in a few minutes! We will cover problems such as:

1.Climbing stairs
2.Buying and Selling Stock
3.0/1 Knapsack
4.Longest Common Substring
5.Longest Common Subsequence
6.Others!

By the end of this course, you should be fairly confident to tackle dynamic programming problems and to begin your journey in learning more Dynamic programming problems and solutions.

Source: PaidCoursesForFree.com

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