10最好的动态规划教程推荐

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特写 iPhone,显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 动态规划 技能并获得 动态规划 证书。

在这篇博客文章中,我们的专家汇总了 10 个精选列表 最好的 动态规划 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容!

10最好的动态规划教程推荐

1. “The Road To Dynamic Programming: Java, JavaScript, & Python” 经过 Hadi youness Udemy课程 我们的最佳选择

“Recursion, Memoization, and Tabulation in Dynamic Programming”

截至目前,超过 23635+ 人们已经注册了这门课程,而且已经结束了 220+ 评论.

课程内容
Introduction
Basics Of Dynamic Programming
Minimum Number Of Bills to Return an Amount
Number Of Ways to Return an Amount
Knapsack With Repetition
Knapsack Without Repetition
Number Of Subsets that Add Up to A Specific Number
Longest Common Subsequence
Longest Increasing Subsequence
Final Message

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2. “Recursion, Backtracking and Dynamic Programming in Java” 经过 Holczer Balazs Udemy课程

“Competitive Programming with Common Interview Questions (Recursion, Backtracking and Divide and Conquer Algorithms)”

截至目前,超过 13707+ 人们已经注册了这门课程,而且已经结束了 1233+ 评论.

课程内容
“Introduction
Recursion
Search Algorithms
Selection Algorithms
Bit Manipulation Problems
Backtracking
Dynamic Programming
Optimal Packing Problem
Divide and Conquer Methods
INTERVIEW QUESTIONS (Amazon, Facebook, Google …)
Next Steps
### APPENDIX – COMPLEXITY THEORY CRASH COURSE ###
Algorhyme FREE Algorithms Visualizer App
Course Materials (DOWNLOADS)”

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3. Dynamic Programming for Solving Problems 经过 Sujithkumar MA Udemy课程

Learn how to use Dynamic Programming Approach to solve the problems.

截至目前,超过 13513+ 人们已经注册了这门课程,而且已经结束了 33+ 评论.

课程内容
Introduction to Dynamic Programming
Fibonacci Series using Dynamic Programming
0/1 Knapsack Problem
Longest Common Subsequence
Frog’s staircase to Heaven Problem
Grid Walking Problem
Stock Buy Sell Problem
The Coin Change Making Problem
Range sum making queries without updates
Download the source codes here!

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4. “Recursion, Backtracking and Dynamic Programming in Python” 经过 Holczer Balazs Udemy课程

“Learn Competitive Programming, Recursion, Backtracking, Divide and Conquer Methods and Dynamic Programming in Python”

截至目前,超过 8715+ 人们已经注册了这门课程,而且已经结束了 674+ 评论.

课程内容
“Introduction
Recursion
Search Algorithms
Selection Algorithms
Bit Manipulation Problems
Backtracking
Dynamic Programming
Optimal Packing Problem
Divide and Conquer Algorithms
Substring Search Algorithms
COMMON INTERVIEW QUESTIONS (Amazon, Facebook and Google)
Next Steps
### APPENDIX – COMPLEXITY THEORY CRASH COURSE ###
Algorhyme FREE Algorithms Visualizer App
Course Materials (DOWNLOADS)”

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5. Dynamic Programming – I 经过 Sweet Codey Udemy课程

Master the art of solving Dynamic Programming problems and acing the Coding Interviews

截至目前,超过 7947+ 人们已经注册了这门课程,而且已经结束了 610+ 评论.

课程内容
Introduction
Solved Problems I
Solved Problems II
Credits
Bonus

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6. Master the art of Dynamic Programming 经过 Ajay Prakash Udemy课程

Learn step by step approach to solve any Dynamic programming problem

截至目前,超过 4627+ 人们已经注册了这门课程,而且已经结束了 615+ 评论.

课程内容
Introduction
Recursion
Backtracking
Introduction to Dynamic Programming
Optimization
Step by Step approach for solving Dynamic Programming problems
One dimensional Dynamic Programming
Two dimensional Dynamic Programming

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7. Dynamic Programming Algorithms Master Course (2022) 经过 “Apaar Kamal, Prateek Narang, Coding Minutes” Udemy课程

“Ultimate Specialisation on Recursion, Backtracking and Dynamic Programming for Competitive Coding & Interviews.”

截至目前,超过 3241+ 人们已经注册了这门课程,而且已经结束了 211+ 评论.

课程内容
Introduction
[Optional] Setting Up Coding Environment
Basics of Recusion
Backtracking
Introduction to Dynamic Programming
1-D Dynammic Programming
2-D DP Deep Dive : SubSet Sum Problem
2D DP: Deep Dive Knapsack Problem
2D DP problems
Partition Problems
Combinatorics and Dynammic Programming
Subsequences and Dynammic Programming
K – Dimensional Dynammic Programming
Digit Dynammic Programming
Dynammic Programming on Trees
Trees and Lowest Common Ancestors (DP)
Dynammic Programming on Graphs
DP on Strings
Dynammic Programming with Bitmasks
SOS DP
Matrix Exponentiation and Dynamic Programming
Game Theory and Dynamic Programming
Dynammic Programming with Advance Data Structures
Tips and tricks
Challenging DP Problems
Additional Problem to Try!
At Coder Dynammic Programming Educational Contest (A-Z)

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8. Dynamic programming 经过 Inside Code Udemy课程

Learn how to solve almost any dynamic programming problem with both its approaches (memoization and tabulation)

截至目前,超过 1243+ 人们已经注册了这门课程,而且已经结束了 98+ 评论.

课程内容
Introduction
Top-down approach (memoization) and bottom-up approach (tabulation)
How to solve almost any dynamic programming problem
Full example: minimum cost path
Practice: Paths in matrix problem
Practice: House robber problem
Practice: Longest common subsequence problem
Practice: Gold mine problem
Practice: Edit distance problem
Practice: Ways to climb problem
Practice: Shortest common supersequence problem
Practice: Coin change problem
Practice: 0-1 knapsack problem
Practice: Subset sum problem
Practice: Longest increasing subsequence problem
Practice: Ways to decode problem
Practice: Partition problem
Practice: Rod cutting problem
Practice: Square matrix of ones problem
Practice: Minimum cost for tickets problem
Practice: Interleaving string problem
Practice: Sorted vowel strings problem
Practice: Word break problem
Practice: Matrix chain problem

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9. “Dynamic Programming Python, Coding Interviews & Applications” 经过 James Cutajar Udemy课程

Become a better developer by learning how to build efficient Dynamic Programming algorithms

截至目前,超过 673+ 人们已经注册了这门课程,而且已经结束了 76+ 评论.

课程内容
Introduction
Understanding Recursion
Counting Derangements
Aircraft Spacing
Maximum Sub Array
Text Justification
String Distance
Final Course Exercise

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10. “Dynamic Programming Java, Coding Interviews and Applications” 经过 James Cutajar Udemy课程

Become a better developer by learning how to build efficient Dynamic Programming algorithms

截至目前,超过 575+ 人们已经注册了这门课程,而且已经结束了 84+ 评论.

课程内容
Introduction
Understanding Recursion
Counting Derangements
Aircraft Spacing
Maximum Sub Array
Text Justification
String Distance
Final Course Exercise

单击此处获得 95% OFF 折扣,当您单击时将自动应用折扣

下面是一些关于学习的常见问题动态规划

学习动态规划需要多长时间?

“学习动态规划需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求,每个人都在不同的场景下工作,所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题:你想学习 动态规划 是为了什么?你的出发点在哪里?您是初学者还是有使用 动态规划 的经验?你能练习多少?每天1小时?每周40小时? 查看本课程关于 动态规划.

动态规划 学起来容易还是难?

不,学习 动态规划 对大多数人来说并不难。检查这个 关于如何学习的课程 动态规划 立刻!

如何快速学习动态规划?

学习 动态规划 最快的方法是先得到这个 动态规划 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 动态规划?

如果您想探索和学习 动态规划,那么 Udemy 为您提供了学习 动态规划 的最佳平台。查看此 关于如何学习的课程 动态规划 立刻!