Emulating Human Biases and Bounded Rationality and Advances in Ai/Ml
B.V.V.S. Prasad1, Ratna Raju Mukiri2
1B.V.V.S. Prasad, Associate Professor, Department of CSE, Chalapathi Institute of Engineering & Technology, India.
2Ratna Raju Mukiri, Associate Professor, Department of CSE, St. Ann’s College of Engineering and Technology, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP:2016-2020| Volume-8 Issue-6, August 2019. | Retrieval Number: F8701088619/2019©BEIESP| DOI: 10.35940/ijeat.F8701.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Machine learning, deep learning, as well as artificial intelligence all possess fairly particular meanings, yet are actually commonly extensively made use of to pertain to any type of modern, big-data similar processing method. In this particular respect, it’s subject to the inescapable buzz that accompanies real innovations in records processing, which the industry very most surely is appreciating currently. The paper concentrated on even more key questions regarding the interplay between theory and data in attempts to style as well as imitates human habits
Keywords: AI, ML, Deep Learning