{"product_id":"principles-of-soft-computing-using-python-programming-learn-how-to-deploy-soft-computing-models-in-real-world-applications-hardcover","title":"Principles of Soft Computing Using Python Programming: Learn How to Deploy Soft Computing Models in Real World Applications - Hardcover","description":"\u003cp\u003eby \u003cb\u003eGypsy Nandi\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePrinciples of Soft Computing Using Python Programming\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eAn accessible guide to the revolutionary techniques of soft computing\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eSoft computing is a computing approach designed to replicate the human mind's unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. \u003c\/p\u003e\u003cp\u003e\u003ci\u003ePrinciples of Soft Computing Using Python Programming\u003c\/i\u003e provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. \u003c\/p\u003e\u003cp\u003eReaders of \u003ci\u003ePrinciples of Soft Computing Using Python Programming \u003c\/i\u003ewill also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEach chapter accompanied with Python codes and step-by-step comments to illustrate applications\u003c\/li\u003e\n\u003cli\u003eDetailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more\u003c\/li\u003e\n\u003cli\u003eExercises at the end of each chapter including both short- and long-answer questions to reinforce learning\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003ePrinciples of Soft Computing Using Python Programming \u003c\/i\u003eis ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eAn accessible guide to the revolutionary techniques of soft computing\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eSoft computing is a computing approach designed to replicate the human mind's unique capacity to integrate uncertainty and imprecision into its reasoning. It is uniquely suited to computing operations where rigid analytical models will fail to account for the variety and ambiguity of possible solutions. As machine learning and artificial intelligence become more and more prominent in the computing landscape, the potential for soft computing techniques to revolutionize computing has never been greater. \u003c\/p\u003e\u003cp\u003e\u003ci\u003ePrinciples of Soft Computing Using Python Programming\u003c\/i\u003e provides readers with the knowledge required to apply soft computing models and techniques to real computational problems. Beginning with a foundational discussion of soft or fuzzy computing and its differences from hard computing, it describes different models for soft computing and their many applications, both demonstrated and theoretical. The result is a set of tools with the potential to produce new solutions to the thorniest computing problems. \u003c\/p\u003e\u003cp\u003eReaders of \u003ci\u003ePrinciples of Soft Computing Using Python Programming \u003c\/i\u003ewill also find: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eEach chapter accompanied with Python codes and step-by-step comments to illustrate applications\u003c\/li\u003e\n\u003cli\u003eDetailed discussion of topics including artificial neural networks, rough set theory, genetic algorithms, and more\u003c\/li\u003e\n\u003cli\u003eExercises at the end of each chapter including both short- and long-answer questions to reinforce learning\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003ePrinciples of Soft Computing Using Python Programming \u003c\/i\u003eis ideal for researchers and engineers in a variety of fields looking for new solutions to computing problems, as well as for advanced students in programming or the computer sciences.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eGypsy Nandi, PhD, \u003c\/b\u003e is an Assistant Professor in the Department of Computer Applications at Assam Don Bosco University, Guwahati, India, and Coordinator of VanitAgrata, an empowerment cell of Assam Don Bosco University that teaches rural women digital awareness skills. She has authored two books on data science and soft computing and has also published extensively on machine learning and related subjects.\u003c\/p\u003e\u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 352\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.81 x 9 x 6 IN\u003c\/div\u003e\u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e December 19, 2023\u003c\/div\u003e","brand":"Books by splitShops","offers":[{"title":"Default Title","offer_id":42706308825151,"sku":"9781394173136","price":216.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0105\/8226\/1823\/files\/e5d4807826ad47ed302b17207e326424.webp?v=1765039959","url":"https:\/\/dhlswag.com\/products\/principles-of-soft-computing-using-python-programming-learn-how-to-deploy-soft-computing-models-in-real-world-applications-hardcover","provider":"BBB","version":"1.0","type":"link"}