Dipanjan (DJ) Sarkar is a Data Scientist at Intel, leveraging data science, machine learning, and deep learning to build large-scale intelligent systems. He holds a master of technology degree with specializations in Data Science and Software Engineering. He has been an analytics practitioner for several years now, specializing in machine learning, NLP, statistical methods, and deep learning. He is passionate about education and also acts as a Data Science Mentor at various organizations like Springboard, helping people learn data science. He is also a key contributor and editor for Towards Data Science, a leading online journal on AI and Data Science. He has also authored several books on R, Python, machine learning, NLP, and deep learning.
Dipanjan Sarkar - ebooki
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The purpose of this book is two-fold, we focus on detailed coverage of deep learning and transfer learning, comparing and contrasting the two with easy-to-follow concepts and examples. The second area of focus is on real-world examples and research problems using TensorFlow, Keras and Python ecosystem with hands-on examples.-
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Dive into the world of social media and learn the art and science behind leveraging the power of R and analytics to transform data into actionable insights. This book will provide you with strategies and hands-on approaches to tap into data from diverse social media platforms and showcase the power of leveraging analytics to get insightful informat
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- PDF + ePub + Mobi pkt
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- PDF + ePub + Mobi pkt
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- PDF + ePub + Mobi pkt
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