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Machine Learning For Computer Scientists
Machine Learning For Computer Scientists
Machine Learning For Computer Scientists
Machine Learning For Computer Scientists
Machine Learning For Computer Scientists
Machine Learning For Computer Scientists
Machine Learning For Computer Scientists
Machine Learning For Computer Scientists

Machine Learning For Computer Scientists

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Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective\nby Setareh Rafatirad\nPaperback\nEnglish\n\nDelivery\nUsually delivered in 2\u20133 working days (dispatched today if ordered before 3pm).\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Setareh Rafatirad\nTitle: Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective\nFormat: Paperback\nLanguage: English\nTopic: Electronics: circuits and components\nPublisher: Springer Nature Switzerland AG\nPublication year: 2023\nEdition: 1st ed. 2022\nISBN-13: 9783030967581\nISBN-10: 3030967581\n\n------------------------------\nDescription\n------------------------------\n\nThis textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adv.

Machine Learning For Computer Scientists

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective\nby Setareh Rafatirad\nPaperback\nEnglish\n\nDelivery\nUsually delivered in 2\u20133 working days (dispatched today if ordered before 3pm).\n\nBrand new copy from BookCurl \u2013 the UK independent online bookseller.\n\n------------------------------\nBook details\n------------------------------\nAuthor: Setareh Rafatirad\nTitle: Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective\nFormat: Paperback\nLanguage: English\nTopic: Electronics: circuits and components\nPublisher: Springer Nature Switzerland AG\nPublication year: 2023\nEdition: 1st ed. 2022\nISBN-13: 9783030967581\nISBN-10: 3030967581\n\n------------------------------\nDescription\n------------------------------\n\nThis textbook introduces readers to the theoretical aspects of machine learning (ML) algorithms, starting from simple neuron basics, through complex neural networks, including generative adv.

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