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Subrat SaurabhAuthor of Kuch Woh PalDr. Viswanatha Allugunti is an experienced solutions architect and digital innovation lead currently works at Arohak Inc , New Jersey USA, having expertise in the supply chain, SAP, UX, blockchain, IoT, AI/ML, AIOps, MLOPs, voice AI, conversational bots and hybrid mobile apps for healthcare and cloud-native platforms across several verticals. He has extensive management knowledge in design thinking, large and global agile application development, continuous innovation, compliance and lifecycle of IT operations. He is a Forbes Technology council member, IEEE brand ambassador, IEEE senior membeRead More...
Dr. Viswanatha Allugunti is an experienced solutions architect and digital innovation lead currently works at Arohak Inc , New Jersey USA, having expertise in the supply chain, SAP, UX, blockchain, IoT, AI/ML, AIOps, MLOPs, voice AI, conversational bots and hybrid mobile apps for healthcare and cloud-native platforms across several verticals. He has extensive management knowledge in design thinking, large and global agile application development, continuous innovation, compliance and lifecycle of IT operations.
He is a Forbes Technology council member, IEEE brand ambassador, IEEE senior member, Harvard Business Review Advisory council member and a fellow of the Royal Society of Public Healthcare.He has extensive research experience in the Healthcare applications in IoT,IoMT, AI/M,AR/VR and NLP Technologies and Editor, Reviewer in the various International Journals and Key note Speaker in the Various International Conferences.
In recognition of his thoughts, leadership and contribution, he has received INTERNATIONAL ACHIEVERS' AWARD & 3+ international awards, 5+ patents granted internationally and 40+ international research publications on research trends in the industry.
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This book helps people learn and explore data science and machine learning.
It starts with the introduction to machine learning and gives an overview of the history and types of machine learning. Then it explains how machine learning works, with its models and training processes. The book also covers various machine learning models and algorithms, advancement of machine learning and generative adversarial networks.
This book helps people learn and explore data science and machine learning.
It starts with the introduction to machine learning and gives an overview of the history and types of machine learning. Then it explains how machine learning works, with its models and training processes. The book also covers various machine learning models and algorithms, advancement of machine learning and generative adversarial networks.
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