![](https://crypto4nerd.com/wp-content/uploads/2023/07/1o_M8WgdZyrUzAAb1eL6PAg.jpeg)
Machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed. It is a pervasive and powerful form of artificial intelligence that is changing every industry. It is behind chatbots and predictive text, language translation apps, the shows Netflix suggests to you, and how your social media feeds are presented. It powers autonomous vehicles and machines that can diagnose medical conditions based on images. When companies today deploy artificial intelligence programs, they are most likely using machine learning — so much so that the terms are often used interchangeably, and sometimes ambiguously ¹.
Machine learning algorithms learn from data. They find patterns in data and use those patterns to make predictions or decisions without being explicitly programmed to perform the task ¹. Machine learning algorithms can be supervised or unsupervised. In supervised learning, the algorithm is trained on labeled data. The algorithm learns to recognize patterns in the data and can then make predictions on new data ¹. In unsupervised learning, the algorithm is trained on unlabeled data. The algorithm finds patterns in the data without any prior knowledge of what it is looking for ¹.
Machine learning has many applications in various fields such as healthcare, finance, transportation, and more. In healthcare, machine learning algorithms can be used to diagnose diseases based on medical images or patient records ¹. In finance, machine learning algorithms can be used for fraud detection or credit scoring ¹. In transportation, machine learning algorithms can be used for autonomous vehicles ¹.
In conclusion, machine learning is a subfield of artificial intelligence that gives computers the ability to learn without explicitly being programmed. It is a pervasive and powerful form of artificial intelligence that is changing every industry. It has many applications in various fields such as healthcare, finance, transportation, and more. Machine learning algorithms learn from data and can be supervised or unsupervised. They find patterns in data and use those patterns to make predictions or decisions without being explicitly programmed to perform the task .
(1) Machine learning, explained | MIT Sloan.
(2) What is Machine Learning? | IBM.
(3) How artificial intelligence is transforming the world | Brookings.