Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
|Classification||Classify/label visual objects||Identify objects, faces in images and videos|
|Classify/label writing and text||Identify letters, symbols, words in writing sample|
|Classify/label audio||Classify and label songs from audio sample|
|Cluster,group other data||Segment objects (e.g., customers, product features) into categories, clusters|
|Discover Associations||Identify that people who watch certain TV shows also certain books|
|Prediction||Predict probability of outcomes||Predict the probability that a customer will use another provider|
|Forecast||Trained on historical data, forecast demand for a product|
|Value function estimation||Trained on thousands of games played, predict/estimate rewards from actions from future states for dynamic games|
|Generation||Generate visual objects||Trained on a set of artist's paintings, generate a new painting in the same style|
|Generate writing and text||Trained on a historical text, fill in missing parts of a single page|
|Generate audio||Generate a new potential recording in the same style/genre|
|Generate other data||Trained on certain countries weather data, fill in missing data points for countries with low data quality|
These use cases are very important because they clearly articulate the business need and projected impact of using machine learning, and helps outline a clear vision of how the business would use the solution.
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