[F4LT] AI Won't Teach Dynamic Programming This Way (2024)

[mindpower]

AI Won't Teach Dynamic Programming This Way (2024)
Embark on a Journey to Decode Dynamic Programming: Mastering Patterns for Problem-Solving
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1hr 53min of on-demand video

Description
Welcome to "AI won't teach Dynamic Programming this way (Java)", a comprehensive course designed for programmers and computer science enthusiasts eager to deepen their understanding of this crucial algorithmic technique. Dynamic Programming (DP) is a method for solving complex problems by breaking them down into simpler subproblems. This course is tailored to equip you with a robust understanding of DP concepts, enabling you to apply them in various programming challenges and real-world scenarios.

Broad Categories of DP problems that we teach in this course:

Longest Increasing Subsequence and Variations: Dive into the intricacies of finding the longest increasing subsequence in a sequence of numbers, along with its various forms and applications.

Longest Common Subsequence (LCS) and Variations: Explore the LCS problem, crucial in file comparison, DNA sequencing, and more, and learn about its different versions.

Buy and Sell Stock Problems and Variations: Analyze different scenarios in stock trading to maximize profit using DP, covering various constraints and conditions.

Matrix Pattern Problems and Variations: Master DP approaches for matrix-related problems, crucial in image processing, game development, and other areas.

DP in Trees and Variations: Explore how DP can be extended to more than arrays and 2D arrays. The problems in this category varies a lot in difficulty levels and is crucial when it comes to intermediate level problem solving skills.


https://www.udemy.com/course/ai-wont-teach-dynamic-programming-this-way-java/

Enjoy!