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Showing posts from July, 2018

Machine Learning

Machine learning (ML) is a category of algorithm that allows software applications to become more accurate in predicting outcomes without being explicitly programmed . The basic premise of machine learning is to build algorithm that can receive input data and use statistical analysis to predict an output while updating outputs as new data becomes available . The process involved in machine learning are similar to that of data mining and predictive modeling . Both require searching through data to looks for patterns actions according . Many people are familiar with machine learning from shopping on the internet and being served ads related to their purchase . This happens because recommendation engines use machine learning to personalize online ad delivery in almost real time . Beyond personalized marketing, other common machine learning use cases include fraud detection, spam filtering, network security threat detection, predictive maintenance and building news feeds. How Ma

Artificial intelligence

Artificial intelligence is a branch of computer science that aims to create intelligent machines. It has become an essential part of the technology industry. Research associated with artificial intelligence is highly technical and specialized. The core problems of artificial intelligence include programming computers for certain traits such as: Knowledge Reasoning Problem solving Perception Learning Planning Ability to manipulate and move objects Knowledge engineering is a core part of AI research. Machines can often act and react like humans only if they have abundant information relating to the world. Artificial intelligence must have access to objects, categories, properties and relations between all of them to implement knowledge engineering. Initiating common sense, reasoning and problem-solving power in machines is a difficult and tedious task. Machine learning is also a core part of AI. Learning without any kind of supervision requires an ability to ide