Название: Big Data and Artificial Intelligence: Complete Guide to Data Science, AI, Big Data and Machine Learning Автор: Hans Weber
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 160
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB
Have you always wondered how it is that a machine understands what you are saying? Did you wonder how Siri or Alexa always knows exactly what to show you when you ask them something? If you did, you have come to the right place. Machines are able to interpret and understand human beings and also interpret the data that is fed to them because of artificial intelligence. So, what is artificial intelligence? If you have been reading the basics, you will know that artificial intelligence is a human being’s attempt to make a machine smart enough to handle processes that a human being would normally do. It is not easy to do this, since you will need to understand the system and also learn the required programming languages to instruct the computer to behave in the required manner.
Deep learning involves several hierarchical layers to process the data in a non-linear manner, and some lower-level ideas help define the higher-level ideas. Deep learning can be considered as a class of machine learning methods that exploit many layers of non-linear information processing for the supervised or unsupervised method of extraction and transformation and pattern recognition and classification.
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