Algorithms are step-by-step instructions that perform automated reasoning tasks. Algorithms are a crucial tool for Exponential Organizations to manage data and deliver value to customers. Machine learning, a type of AI that uses layers of algorithms, is applied in areas that involve processing large amounts of data. Machine learning includes supervised learning, unsupervised learning, and reinforcement learning. Reinforcement learning is suitable for situations where AI needs to learn certain skills that are difficult or impossible for humans to understand.

Machine learning has revolutionized the way we interact with technology. For example, music streaming services use machine learning to recommend new songs or artists to users. The Amazon recommendation engine, powered by algorithms, uses machine learning to recommend products to customers. Reinforcement learning was used to teach Google’s AlphaGo how to play the board game Go. Machine learning is also applied in customer service through the use of chatbots, virtual assistants, and predictive analysis.

Efficient algorithms are crucial to Exponential Organizations to analyze large datasets and intelligently select from vast numbers of possible outcomes. As computer scientists use asymptotic analysis to compare algorithms, they confirm if some algorithms are more efficient than others. Algorithms, particularly machine learning algorithms, have significantly improved the quality of audio and video in streaming services, and the quality of recommendations and search results on Amazon and Google.