In this episode, we discuss Learning Task Decomposition to Assist Humans in Competitive Programming by Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang. The paper presents a method to enhance human understanding and repair of language model (LM)-generated solutions by automatically breaking down complex solutions into simpler subtasks. They introduce a novel objective called assistive value (AssistV) to measure how easily humans can repair these subtasks and validate their method through a dataset of human repair experiences. The approach significantly improves the problem-solving ability and speed of non-experts in competitive programming, allowing them to solve more problems and match the performance of unassisted experts.
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Organiser @AceHack 4.0 | B. Tech Student | Engineering Major | AR, Web & Android Developer | Proficient in Java, Kotlin, and C++ | Passionate About Problem-Solving & DSA Mastery | 2x Hackathon Runner-Up
🚀 #200DaysLearningChallenge: Week 9 Recap 🚀 This week, I dived into some advanced mathematical and algorithmic concepts that are crucial in competitive programming. Here’s what I learned: 🔹 Sieve of Eratosthenes & Segmented Sieve 🔹 Euclid’s Algorithm for GCD 🔹 Modulo Arithmetic & Fast Exponentiation 🔹 Pigeonhole Principle 🔹 Catalan Number I also attempted a few questions related to these topics to solidify my understanding. It’s been an exciting week of learning, and I’m eager to explore more advanced concepts in the upcoming weeks! #LearningInPublic #DSAChallenge #200DayChallenge #ContinuousLearning #Algorithms #CompetitiveProgramming #CodingJourney
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The session was both insightful and inspiring, emphasizing the deep connection between mathematics and effective problem-solving in programming. It reinforced the idea that a solid mathematical foundation is key to writing efficient and innovative code. Looking forward to applying these concepts in my future projects! 😊 #forCodeRallySwagChallenge #CodeRally
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Hi all I have developed one more along with my two team members, ============================ "Empowering Students with Programming GPT: Revolutionizing Self-Learning in Programming" =================== Key Features:-> Multi-language Support, User-friendly Interface, Educational Focus, Real-time Assistance Benefits for Students:-> Enhanced Learning Experience, Practical Skill Development, Accessibility
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🚀 Excited to share my latest article on Medium : "Why and When Dynamic Programming?" 🎉 Ever wondered how to tackle those tough optimization problems efficiently? Dynamic programming (DP) might just be your new best friend! 🧩 In this article, I delve into why DP is essential for solving complex problems and when you should use it. From improving efficiency and ensuring optimal solutions to handling overlapping subproblems with ease, DP is a game-changer. Dynamic programming isn’t just a theoretical concept; it’s widely applied in fields like bioinformatics, finance, operations research, and even video game design. Whether you're calculating the shortest path, maximizing profits, or aligning DNA sequences, DP offers a robust and efficient approach. Check out the full article given below to discover how DP can supercharge your problem-solving skills! 💡 #DynamicProgramming #Algorithms #Optimization #TechInnovation #ProblemSolving #FunFacts #RichardBellman Feel free to comment on your thoughts or share your experiences with dynamic programming! ⬇️
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AI & Machine Learning Enthusiast || Big Data Explorer || Proficient in Python, Java, Hadoop, Spark ||
🎉 Excited to share that I’ve successfully completed an intensive course on Algorithm Design and Advanced Data Structures! 🚀 This course has been an incredible journey, diving deep into fundamental algorithm design techniques like: ✅ Divide and Conquer ✅ Dynamic Programming ✅ Greedy Algorithms It also introduced me to the fascinating world of intractability (NP-completeness) and how to leverage linear and integer programming solvers to tackle complex optimization problems. Additionally, I explored advanced topics in data structures, which have further strengthened my problem-solving skills. Grateful for the opportunity to enhance my understanding of algorithms and data structures, which are the backbone of efficient software development and problem-solving in computer science. Looking forward to applying these concepts to real-world challenges and continuing my learning journey! A big thanks to the instructors and everyone who supported me along the way. Onward and upward! 💡 #Algorithms #DataStructures #DivideAndConquer #DynamicProgramming #GreedyAlgorithms #Optimization #NPCompleteness #ComputerScience #LearningJourney #ProblemSolving #TechEnthusiast
Completion Certificate for Dynamic Programming, Greedy Algorithms
coursera.org
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Building the capacity of Primary Teachers and Schools to integrate Digital and STEM Technologies into the curriculum.
Engage and Educate with Bee-Bot 📚🖍️ From literacy to numeracy, Bee-Bot activity mats bring subjects to life. A fun way to learn directional language and programming. #FunLearning #BeeBotMats https://lnkd.in/gSYabu3u
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Day-9 of #gfg160 challenge !! 🎯 Arrays : Kadane’s Algorithm for Maximum Subarray Sum Approach: 1️⃣Initialize two variables : maxsum (stores the highest sum so far) and sum (tracks the current subarray sum) 2️⃣For each element, decide whether to: Add it to the current subarray, or Start a new subarray with just this element. 3️⃣Update maxsum to keep track of the largest sum encountered. Kadane’s algorithm is a perfect example of how dynamic programming can simplify problems and help us solve them in linear time! 🚀 TC : O(n) SC : O(1) #geekstreak2024 #coding #dsa #learning #interviewprep #consistency GeeksforGeeks
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Save the post for the future and Follow Groot Academy. From sorting to searching, we've got you covered! Learn the 25 algorithms that form the foundation of programming. Watch our video now. Linear Search Binary Search Bubble Sort Insertion Sort Selection Sort Quick Sort Sort Heap Sort Counting Sort Radix Sort Bucket Sort Depth-First Search (DFS) Breadth-First Search (BFS) Dijkstra's Algorithm Bellman-Ford Algorithm Floyd-Warshall Algorithm Prim's Algorithm Kruskal's Algorithm Topological Sort Dynamic Programming Knapsack Problem Traveling Salesman Problem (TSP) Convex Hull Maximum Flow Minimum Spanning Tree #grootacademy #grootlearning #greatlearning #mygreatlearning #learnprogramming #codingtutorial #algorithms
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Pro efficient in DSA | C++ | C | MySQL | Driven by the excitement of DSA problem-Solving.
🎯 Revisiting the Fundamentals ! I recently completed a revision of the Binary Search playlist by Striver(Raj) on his channel Take U Forward. This playlist, consisting of 29 comprehensive videos, provided a deep dive into one of the most critical algorithms in computer science. Revisiting these concepts has not only reinforced my understanding but also improved my problem-solving approach and confidence. Striver's clear explanations and practical examples make this playlist a must-watch for anyone looking to strengthen their grasp of Binary Search. Continuous learning is the way forward, and I’m excited to apply these insights in my coding journey! 🚀 #BinarySearch #Algorithms #TakeUForward #ContinuousLearning #Programming
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