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Title: Udemy - Intro To Dynamic Programming – Coding Interview Preparation -
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[PaidCoursesForFree.com] Udemy - Intro To Dynamic Programming - Coding Interview Preparation
• PaidCoursesForFree.com.url (0.1 KB)
• 1. Dynamic Programming
• 1. What is Dynamic Programming.vtt (4.4 KB)
• 8. Problem 7 Longest Common Sub-sequence.vtt (7.6 KB)
• 9. Problem 8 Longest Common Sub-string.vtt (7.7 KB)
• 2. Problem 1 Climbing Stairs.vtt (12.4 KB)
• 7. Problem 6 01 Knapsack.vtt (12.6 KB)
• 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.vtt (13.6 KB)
• 5. Problem 4 Best Time To Buy And Sell Stock.vtt (17.6 KB)
• 3. Problem 2 Cutting Rods.vtt (18.5 KB)
• 4. Problem 3 House Robber.vtt (19.5 KB)
• 1. What is Dynamic Programming.mp4 (9.1 MB)
• 8. Problem 7 Longest Common Sub-sequence.mp4 (19.0 MB)
• 9. Problem 8 Longest Common Sub-string.mp4 (19.4 MB)
• 2. Problem 1 Climbing Stairs.mp4 (25.8 MB)
• 10. BONUS LECTURE Problem 9 Maximum Sum of a Contiguous Sub array Problem.mp4 (27.1 MB)
• 11. CORRECTION LECTURE House Robber Problem With the Fixed Base Cases.mp4 (27.8 MB)
• 7. Problem 6 01 Knapsack.mp4 (28.4 MB)
• 6. Problem 5 Maximum Length of Pair Chain.mp4 (30.9 MB)
• 6. Problem 5 Maximum Length of Pair Chain.vtt (30.9 MB)
• 5. Problem 4 Best Time To Buy And Sell Stock.mp4 (36.5 MB)
• 3. Problem 2 Cutting Rods.mp4 (41.8 MB)
• 4. Problem 3 House Robber.mp4 (42.4 MB)

Info

Learn Dynamic programming to improve your Algorithms knowledge and prepare for the Software Engineering Coding . Try Udemy for Business.

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

Publisher - Download Udemy Paid Courses For Free. 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

Publisher - Download Udemy Paid Courses For Free. 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. Who this course is for: Anyone who wants to learn Dynamic programming to prepare for a job interview. Anyone who wants to learn Dynamic programming to prepare for a Midterm/Final in an Algorithms Course. Anyone who wants to learn Dynamic programming to get involved in Competitive Programming. Anyone who wants to improve their Algorithms Skills.

In this course, you will learn how to solve several problems using Dynamic .

In this course, you will learn how to solve several problems using Dynamic Programming.

How to code a dynamic programming solution. You should have a slight background on recurrences.

This is probably the best coding interview course for Java programmers.

10 Data Structure and Algorithm Courses for Programming Interviews. This is probably the best coding interview course for Java programmers.

Intro To Dynamic Programming – Coding Interview Preparation. Sale! Intro To Dynamic Programming – Coding Interview Preparation. Learn Dynamic programming to improve your Algorithms knowledge and prepare for the Software Engineering Coding Interview.

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Intro To Dynamic Programming - Coding Interview Preparation. for this course only.

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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.
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