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A rapidly developing field of technology, machine learning allows computers to automatically learn from previous data. For building mathematical models and making predictions based on historical data or information, machine learning employs a variety of algorithms.
Machine Learning algorithms are the programs that can learn the hidden patterns from the data, predict the output, and improve the performance from experiences on their own.
Basic Concepts in Machine Learning with Tutorial, Machine Learning Introduction, What is Machine Learning, Data Machine Learning, Machine Learning vs Artificial Intelligence etc.
Jun 20, 2024 · Machine learning (ML) is a subdomain of artificial intelligence (AI) that focuses on developing systems that learn—or improve performance—based on the data they ingest. Artificial intelligence is a broad word that refers to systems or machines that resemble human intelligence.
Machine Learning, often abbreviated as ML is a branch of Artificial Intelligence (AI) that works on algorithm developments and statistical models that allow computers to learn from data and make predictions or decisions without being explicitly programmed.
Classification Algorithm in Machine Learning. As we know, the Supervised Machine Learning algorithm can be broadly classified into Regression and Classification Algorithms. In Regression algorithms, we have predicted the output for continuous values, but to predict the categorical values, we need Classification algorithms.
The Decision Tree algorithm is a hierarchical tree-based algorithm that is used to classify or predict outcomes based on a set of rules. It works by splitting the data into subsets based on the values of the input features.
