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• W3091821447 abstract "The recent development in artificial intelligence is quite astounding in this decade. Especially, machine learning is one of the core subareas of AI. Also, ML field is an incessantly growing along with evolution and becomes a rise in its demand and importance. It transmogrified the way data is extracted, analyzed, and interpreted. Computers are trained to get in a self-training mode so that when new data is fed they can learn, grow, change, and develop themselves without explicit programming. It helps to make useful predictions that can guide better decisions in a real-life situation without human interference. Selection of ML tool is always a challenging task, since choosing an appropriate tool can end up saving time as well as making it faster and easier to provide any solution. This chapter provides a classification of various machine learning tools on the following aspects: for non-programmers, for model deployment, for Computer vision, natural language processing, and audio for reinforcement learning and data mining." @default.
• W3091821447 created "2020-10-15" @default.
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• W3091821447 date "2021-01-01" @default.
• W3091821447 modified "2023-10-16" @default.
• W3091821447 title "A Survey on Intelligence Tools for Data Analytics" @default.
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• W3091821447 doi "https://doi.org/10.4018/978-1-7998-3053-5.ch005" @default.
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