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Subrat SaurabhAuthor of Kuch Woh PalMalaya Rout is the director of data science with Exafluence. He has nearly 20 years of industry experience and is the published author of seven books, three of which are on data science. He writes a weekly column on data science in the Times of India and is an avid speaker at various conferences and technical events. He is also a professor of practice (POP) in data science at Periyar Maniammai Institute of Science & Technology (PMU) in Thanjavur. When writing calms 60% of his stress, public speaking and long drives take care of the rest. Read More...
Malaya Rout is the director of data science with Exafluence. He has nearly 20 years of industry experience and is the published author of seven books, three of which are on data science. He writes a weekly column on data science in the Times of India and is an avid speaker at various conferences and technical events. He is also a professor of practice (POP) in data science at Periyar Maniammai Institute of Science & Technology (PMU) in Thanjavur. When writing calms 60% of his stress, public speaking and long drives take care of the rest.
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Achievements
This book results from the author’s nearly two decades of industry experience in software engineering, data science, and Generative AI. Specifically, I could say nine years in software engineering, ten years in data science, and one year in building LLM-powered applications. However, by doing that, I would ignore the overlap among the three areas and not do justice to the role of emergent properties that a mind exhibits. The book suits laymen, technologists,
This book results from the author’s nearly two decades of industry experience in software engineering, data science, and Generative AI. Specifically, I could say nine years in software engineering, ten years in data science, and one year in building LLM-powered applications. However, by doing that, I would ignore the overlap among the three areas and not do justice to the role of emergent properties that a mind exhibits. The book suits laymen, technologists, business analysts, and business teams.
This book results from the author’s nearly two decades of industry experience in software engineering, data science, and Generative AI. Specifically, I could say nine years in software engineering, ten years in data science, and one year in building LLM-powered applications. However, by doing that, I would ignore the overlap among the three areas and not do justice to the role of emergent properties that a mind exhibits. The book suits laymen, technologists,
This book results from the author’s nearly two decades of industry experience in software engineering, data science, and Generative AI. Specifically, I could say nine years in software engineering, ten years in data science, and one year in building LLM-powered applications. However, by doing that, I would ignore the overlap among the three areas and not do justice to the role of emergent properties that a mind exhibits. The book suits laymen, technologists, business analysts, and business teams.
Mindful Stories takes us through emotions and stories of the mind. Each one of us has a wonderful experience right now. We take the liberty to say that, because we know we are blessed with abundance—two eyes to read, a mind to reflect, and our emotions to relate. If we are able to reach you in the tiniest possible way with the stories, we would thank the almighty for enabling us to do so. Human beings are strange creatures. They live in NOW and drive into th
Mindful Stories takes us through emotions and stories of the mind. Each one of us has a wonderful experience right now. We take the liberty to say that, because we know we are blessed with abundance—two eyes to read, a mind to reflect, and our emotions to relate. If we are able to reach you in the tiniest possible way with the stories, we would thank the almighty for enabling us to do so. Human beings are strange creatures. They live in NOW and drive into the FUTURE with a truckload of the PAST. Definitely, this creates a great substance for stories. So, sit back and enjoy the stories. Who knows, the essence of mind’s thirst, grief, and life-lihood might have one of your own stories to reflect.
Data Science Building Blocks is a result of the authors’ many years of industry experience in data science and their various interactions with learners whose conversations also figure in this content. The book is aimed at familiarising aspirants and beginners with the basics of data science. These building blocks will help you build your analytics dream house. When it is done, don’t forget to invite us and share your success story over a c
Data Science Building Blocks is a result of the authors’ many years of industry experience in data science and their various interactions with learners whose conversations also figure in this content. The book is aimed at familiarising aspirants and beginners with the basics of data science. These building blocks will help you build your analytics dream house. When it is done, don’t forget to invite us and share your success story over a cup of coffee.
Aryan is the perfect student and the perfect child. He is set for all the successes of life. Or is he? Life has different plans for him. Find out from the book what happens! Doesn’t everybody have a bit of Aryan-ness?
Aryan is the perfect student and the perfect child. He is set for all the successes of life. Or is he? Life has different plans for him. Find out from the book what happens! Doesn’t everybody have a bit of Aryan-ness?
We promise that this book will go a long way to kindle your imagination on certain chosen topics of analytics. For the aspiring or budding data scientists, this will provide a healthy platform to think, debate, disagree and finally learn the message each topic has to convey. At times the authors have skillfully crafted out an intersection between analytics and philosophy too. This is a first-hand perspective of how analytics solutions are designed and carried
We promise that this book will go a long way to kindle your imagination on certain chosen topics of analytics. For the aspiring or budding data scientists, this will provide a healthy platform to think, debate, disagree and finally learn the message each topic has to convey. At times the authors have skillfully crafted out an intersection between analytics and philosophy too. This is a first-hand perspective of how analytics solutions are designed and carried out in a simple language. We could have as well named the book 'Analytics Story Time'.
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