10 popular algorithms
✅ Sorting Algorithms
↳ Essential for organising data, used in everything from database management and search functionalities to data analysis and machine learning.
✅ RSA Algorithm
↳ A foundational cryptographic algorithm that enables secure data transmission, crucial for online transactions and digital communications.
✅ Hash Functions
↳ Employed in various applications such as database indexing, password security, and ensuring data integrity, making them critical for cybersecurity.
✅ Random Number Generation
↳ Vital for cryptography, simulations, and gaming, these algorithms generate sequences that appear random, supporting a range of applications.
✅ Data Compression
↳ Facilitates faster network transmission and reduced storage needs, used in ZIP files, video streaming, and more.
✅ PageRank (Link Analysis)
↳ Originally developed by Google, this algorithm ranks web pages in search engine results based on their link structures.
✅ Proportional-Integral-Derivative (PID) Controller
↳ Widely used in automated industrial processes, this algorithm helps control system conditions like temperature and pressure.
✅ Dijkstra’s Algorithm
↳ Finds the shortest paths between nodes in a graph, essential for route planning in GPS systems and network routing.
✅ Fourier Transform
↳ Transforms signals between time and frequency domains, crucial for signal processing, image analysis, and even audio processing.
✅ Integer Factorisation
↳ Key in cryptography, particularly in algorithms like RSA, where its difficulty underpins the security of public key cryptography.
🎓 What are the five popular Machine Learning Algorithms?
🎓 Algorithms, Part I by Princeton University
🎓 Algorithms, Part II by Princeton University
🎓 Divide and Conquer, Sorting and Searching, and Randomized Algorithms by Stanford University
🎓 Computer Science: Algorithms, Theory, and Machines by Princeton University
🎓 Graph Theory Algorithms by William Fiset
🎓 JavaScript Algorithms and Data Structures Masterclass by Colt Steele
