RL’s origins and historic context RL copies a very simple principle from nature. The psychologist Edward Thorndike documented it more than 100 years ago. Thorndike
As you know, goal of AI learning is generalisation, but one major issue is that data alone will never be enough, no matter how much
Artificial intelligence has reached peak hype. News outlets report that companies have replaced workers with IBM Watson and algorithms are beating doctors at diagnoses. New AI startups
AI and ML feed on data, and companies that center their business around the technology are growing a penchant for collecting user data, with or without
A birds-eye view of main ML algorithms In statistics, we have descriptive and inferential statistics. ML deals with the same problems and claims any problem
Story, context and hype Named after its inventor, the 18th-century Presbyterian minister Thomas Bayes, Bayes’ theorem is a method for calculating the validity of beliefs
Nowadays, ‘artificial intelligence’ (AI) and ‘machine learning’ (ML) are cliches that people use to signal awareness about technological trends. Companies tout AI/ML as panaceas to
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