WHAT IS MACHINE LEARNING
Machine learning definition
Machine learning is a subfield of artificial intelligence (AI) that uses algorithms trained on data sets to create self-learning models that are capable of predicting outcomes and classifying information without human intervention. Machine learning is used today for a wide range of commercial purposes, including suggesting products to consumers based on their past purchases, predicting stock market fluctuations, and translating text from one language to another.
In common usage, the terms “machine learning” and “artificial intelligence” are often used interchangeably with one another due to the prevalence of machine learning for AI purposes in the world today. But, the two terms are meaningfully distinct. While AI refers to the general attempt to create machines capable of human-like cognitive abilities, machine learning specifically refers to the use of algorithms and data sets to do so.
Examples and use cases
Machine learning is typically the most mainstream type of AI technology in use around the world today. Some of the most common examples of machine learning that you may have interacted with in your day-to-day life include:
Recommendation engines that suggest products, songs, or television shows to you, such as those found on Amazon, Spotify, or Netflix.
Speech recognition software that allows you to convert voice memos into text.
A bank’s fraud detection services automatically flag suspicious transactions.
Self-driving cars and driver assistance features, such as blind-spot detection and automatic stopping, improve overall vehicle safety.
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