02-17-2024, 09:59 AM
AI Won't Teach Dynamic Programming This Way (2024)
Embark on a Journey to Decode Dynamic Programming: Mastering Patterns for Problem-Solving
New
Rating: 0.0 out of 5
(0 ratings)
390 students
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!
Embark on a Journey to Decode Dynamic Programming: Mastering Patterns for Problem-Solving
New
Rating: 0.0 out of 5
(0 ratings)
390 students
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!