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About Dr Sandeep Kautish - Google Scholar

  Have you ever seen a person so dedicated that even after massive contributions to the education community, the will to serve doesn't end? Here is one gem person that has shaped the monotonous education regime in leaps and bounds with his scholarly research and works. Introduction Born in a middle-class family of accomplished professionals, Dr Sandeep Kautish is a practiced working professor, a Google Scholar and a Dean academician having over 16 years of work experience in the education sector. The above stats are inclusive of 5 years of academic administration across multiple institutions in India and overseas. The Google Scholar, Dr Sandeep Kautish, merited his bachelors, masters and doctorate in the domain of Computer Science in Intelligent Systems in Social Networks as the specialization field. Currently, he is working with the LBEF campus, Kathmandu, Nepal, which runs an academic collaboration with the Asia Pacific University of Technology & Innovation Malaysia. Let'
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Sandeep Kautish Google Scholar - The Road to an Educational and Professional Journey

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Since his childhood, DR Sandeeep Kautish has been an outperformer in his work. Commencing with the tier two city of Rajasthan, Ajmer, he passed his schooling and college with exemplary records and a bunch of academic accolades. Later, in 2004 he started his professional career as an academician which wasn't incidental or coerced but totally by choice. For 16 long years, he delivered his services at a multitude of locations such as Jaipur, Chandigarh, Dehradun to the current location of Nepal. He mastered the foundation of academics at the ICFAI University, Hyderabad in three years ie. 2006-2009. Interestingly he has always preferred taking the road over the expressways which did hinder his pace but he believes that the absence of shortcuts incorporated discipline in his life. Teaching vs Corporate ladder In today's world where IT professionals have their eyes on offers from big software multinationals such as Microsoft and TCS, he walked on the road less travelled by to reach
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A Journey from Hindi-medium modest-city scholar to the global amount academic administrator

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  In discussion with Dr. Sandeep Kautish. Dr. Sandeep Kautish is working as Professor & Dean-Lecturers with LBEF Campus, Kathmandu Nepal running in tutorial collaboration with Asia Pacific University of Technology & Innovation Malaysia. He is an academician by choice and backed with 16+ A long time of operate encounter in lecturers including over 05 years in tutorial administration in numerous institutions of India and abroad. He has meritorious tutorial documents throughout his educational career. He earned his bachelor’s, master’s, and doctorate degree in Computer Science on Smart Systems in Social Networks. He holds a PG Diploma in Management also. His places of research curiosity are Enterprise Analytics, Machine Learning, Info Mining, and Information Systems. He has forty+ publications in his account and his investigation works have been revealed in reputed journals with high effect factor and SCI/SCIE/Scopus/WoS indexing. His research papers can be located at Computer St
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Location: India
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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

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  Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics   presents the changing world of data utilization, especially in clinical healthcare. Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the impact of these techniques on healthcare analytics. The book is divided into two parts: Part 1 covers big data aspects such as healthcare decision support systems and analytics-related topics. Part 2 focuses on the current frameworks and applications of deep learning and machine learning, and provides an outlook on future directions of research and development. The entire book takes a case study approach, providing a wealth of real-world case studies in the application chapters to act as a foundational reference for biomedical engineers, computer scientists, healthcare researchers, a
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