Intro Machine Learning
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What is machine learning?
Definition of machine learning:
Machine learning (ML) is a form of artificial intelligence (AI) that focuses on creating systems that learn, or improve their performance, based on the data they process. Artificial intelligence is a broad term that refers to systems or machines that simulate some form of human intelligence. Machine learning and AI are often discussed together and these terms are sometimes used interchangeably even though they do not refer to exactly the same concept. An important distinction is that while the entirety of machine learning is based on artificial intelligence, artificial intelligence is not limited to machine learning.
Today, we use machine learning in all areas. When we interact with banks, shop online, or use social media, machine learning algorithms come into play to optimize, streamline, and secure our experience. Machine learning and the technology surrounding it is developing rapidly, and we are only beginning to glimpse its capabilities.
Types of machine learning: two approaches to learning
Algorithms are the drivers of machine learning. In general, there are two main types of machine learning algorithms in use today: supervised learning and unsupervised learning. The difference between the two is defined by the method used to process the data to make predictions.
Supervised machine learning
Unsupervised machine learning
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Machine learning algorithms 2022