🚀 Let's talk about 'The Evolution of Algorithm Efficiency'. How algorithms have evolved to become faster and smarter. They have revolutionised data processing. Let's explore this fascinating progression. 🧵 #Algorithms #DataProcessing

🔍 At first, algorithms were simple and manual. They designed them for tasks such as sorting and calculating. As computing emerged, these algorithms laid the groundwork for more complex data processing. But, efficiency was a major challenge. #TechHistory #Computing

💡 The breakthrough came with Big O notation. It is a math concept. It let computer scientists measure an algorithm's speed. This led to a deeper understanding of how to optimise algorithms for speed and resource use. #BigONotation #Optimisation

📈 With the digital explosion, the demand for processing vast amounts of data skyrocketed. Algorithms had to change. This led to innovations like quicksort, hash tables, and binary search trees. They improved data handling and retrieval times. #DataHandling #Innovation

🌐 The internet pushed algorithm efficiency higher. Search engines and services needed algorithms. The algorithms had to handle huge amounts of data. Techniques like caching, distributed computing, and machine learning algorithms came up. #InternetEra #MachineLearning

🔮 Today, algorithms must be efficient. They must also be adaptable and smart. AI and machine learning are pushing the boundaries. They make algorithms not faster, but smarter. Algorithms can learn and evolve. #AI #FutureOfComputing

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The Evolution of Algorithm Efficiency

How algorithms have evolved to become faster and smarter. They have revolutionised data processing.

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