Best of Algorithms — September 2024

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   Article

   Machine Learning Mastery·2y

   10 Machine Learning Algorithms Explained Using Real-World Analogies

   The post explains 10 common machine learning algorithms using real-world analogies to make them easier to understand. It covers algorithms like Linear Regression, Logistic Regression, Decision Tree, Random Forest, Support Vector Machine, Naive Bayes, K-Nearest Neighbors, K-means, Principal Component Analysis, and Gradient Boosting, providing everyday examples to illustrate how each algorithm functions.

   258

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2. 2
   Article

   The Polymathic Engineer·2y

   Solving Problems by Sorting

   Discover how sorting input data can drastically improve the efficiency of coding solutions. From reducing time complexity to efficiently solving problems using sweep line and scheduling algorithms, learn how these strategies can streamline your coding approaches and make your solutions more optimal. Includes practical examples and problem-solving techniques.

   97

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   Video

   Google for Developers·2y

   Machine Learning Crash Course: Neural Networks Intro

   This explains the transition from linear models to neural networks for modeling nonlinear relationships. It covers how traditional linear models use feature crosses and introduces the concept of hidden layers in neural networks. The key highlight is the use of activation functions, like ReLU, to introduce nonlinearity, enabling neural networks to approximate complex functions and automatically learn nonlinear relationships during training.

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4. 4
   Article

   Javarevisited·2y

   Review of Tree Data Structure using JAVA

   A tree data structure in Java is explored, detailing various types like full, perfect, and complete trees. The binary search tree (BST) is explained with its Big O complexities for insert, remove, and lookup operations being O(log n). Additionally, tree traversal techniques including Breadth First Search (BFS) and three types of Depth First Search (DFS)—Pre Order, Post Order, and In Order—are discussed.

   31
5. 5
   Article

   Community Picks·2y

   Introducing Algorithm Hooks on scriptkavi/hooks

   Scriptkavi/hooks has introduced 8 new algorithm hooks, offering reusable, modular, and easy-to-integrate solutions for React projects. These hooks include implementations of BFS, DFS, Binary Search, Dijkstra, Graham Scan, Greedy Algorithm, Merge Sort, and Quick Sort. Designed to handle edge cases and follow React’s declarative style, these hooks simplify integrating complex algorithms into your applications. The library is open source, inviting contributions and feedback from the community.

   28

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6. 6
   Article

   Baeldung·2y

   Check if Two 2d Arrays Are Equal in Java

   Learn how to check if two 2D arrays are equal in Java. The tutorial covers both a naive approach using nested loops and a more efficient method for larger arrays, detailing their time and space complexities. It also highlights the importance of array comparison in various domains such as image processing, game development, AI, and cryptography.

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   Video

   YouTube·2y

   how much DSA to learn?

   Understanding core data structures and algorithms is crucial for coding interviews. While advanced concepts like segment trees may not be frequently asked, focusing on essential data structures and techniques such as greedy algorithms, recursion, and dynamic programming is recommended. A specific list of nine core data structures and associated algorithms is available on instab.

   19

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   Video

   ThePrimeTime·2y

   A New Git Diff Algo

   The post discusses improvements in Git's diff algorithm, highlighting a switch from the Myers diff algorithm to a new, computationally intensive approach called commit cruncher. This new algorithm aims to reduce developers' time spent on code reviews by presenting more semantic information. While preliminary research shows a potential 28% reduction in lines to review, concerns exist about the increased complexity and the potential for semantic overload. The post also critiques the current practices and explores the challenges in making such transitions mainstream.

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