Best of AlgorithmsAugust 2024

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    Video
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    LeetCode was HARD until I Learned these 15 Patterns

    Understanding patterns is more critical than solving numerous problems to excel in competitive coding and coding interviews. This post covers 15 key patterns like prefix sum, two-pointers, sliding window, fast and slow pointers, and dynamic programming among others. These patterns not only make solving problems easier but are commonly tested by major companies like Amazon and Google. Each pattern is explained with examples and related practice problems.

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    Video
    Avatar of youtubeYouTube·2y

    Fastest way to learn Data Structures and Algorithms

    Many programmers struggle with mastering data structures and algorithms (DSA) for coding interviews, despite completing numerous courses. It's crucial to focus on core concepts and use languages like Python, which simplifies writing and enhances problem-solving efficiency. Employing 'just-in-time' learning helps acquire knowledge as needed, avoiding overwhelm. Priority should be given to essential data structures like arrays, linked lists, stacks, queues, binary trees, and hash tables. Understanding Big O notation for algorithm efficiency is critical. Practice focused on the most common interview problems is vital for success.

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    Article
    Avatar of taiTowards AI·2y

    Principle Component Analysis (PCA) Mathematics

    Principal Component Analysis (PCA) is a dimensionality reduction technique used to reduce N features to P features while retaining as much variance as possible. Standardization of data is crucial before applying PCA to prevent variance-dominated principal components. PCA benefits include improved model performance and reduced overfitting, but it also has downsides such as loss of interpretability and lossy compression.

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    Article
    Avatar of taiTowards AI·2y

    Similarity-based Based Recommendation Systems Algorithms

    Similarity-based recommendation systems use either user-user or item-item similarities to provide recommendations. User-user similarity systems compare users' preferences, while item-item systems compare items. Amazon popularized item-item similarity due to its stability over time, making it more effective in environments where user preferences change frequently. Overall, item-item approaches are preferred when there are more users than items.

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    Article
    Avatar of collectionsCollections·2y

    Mastering Data Structures and Algorithms: A Comprehensive Guide for Students

    A new Data Structures and Algorithms (DSA) series by Shradha Khapra is aimed at students preparing for placements and internships. The course will cover essentials from basic programming and mathematical foundations to advanced topics like hash maps, heaps, and dynamic programming. Practical implementations and continuous practice on platforms like LeetCode are emphasized to solidify learning.

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    Video
    Avatar of kirupaKirupa·2y

    Bubble Sort: A Brutal Step-by-Step Walkthrough 🧋

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    Article
    Avatar of justjavaJust Java·2y

    Data structures and algorithms in Java

    Abhinav, a BTech student and recent completer of Harvard's CS50 course, is seeking advice on learning data structures and algorithms in Java. He is eager to make new friends and learn more about professional life.

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    Article
    Avatar of hnHacker News·2y

    The Simple Algorithm That Ants Use to Build Bridges

    Army ants build bridges with their bodies by following simple rules without a leader. When encountering a gap, ants freeze if they feel others walking on them, creating a bridge for the colony. The decision-making balances cost and benefit, considering the ants tied up in bridge-building versus other tasks. Researchers are studying this behavior to apply it to swarm robotics.