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

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

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Size
339 MB
Seeders
0
Leechers
1
Files
22
Category
Other
Added
07/20/19 at 8:02pm GMT+1
Infohash
093cb0a0bf23fe478789ec32f5e99580df649e33

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

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

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