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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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A Tour of Data Science: Learn R and Python in Parallel covers the fundamentals of data science, including programming, statistics;
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looking for a challenge and want to learn cutting edge techniques. This book assumes working knowledge of data science, common machine learning;
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control integration. This book gives you a tour of RStudio and shows you how it helps you do exploratory data analysis; build data visualizations;
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relationships; and problems examining multivariate relationships The book is a tour de force in making data analysis manageable and rewarding for;
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relationships; and problems examining multivariate relationships The book is a tour de force in making data analysis manageable and rewarding for;
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This series of science books takes children on a tour through the natural world, from the fascinating realm of bugs and butterflies to the;
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offers a tour of new research on the science of spending.;
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Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work. But don't let that;
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tries to influence people (or is influenced) by statistics. A tour de force' Popular Science Do busier hospitals have higher survival rates;
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This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces;
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This is the first of three volumes from the archives of The Perl Journal , it contains 71 articles providing a comprehensive tour of how;
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big data. How are they doing it? Data Science Strategy For Dummies answers all your questions about how to build a data science capability;
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science techniques and obtain a more holistic and deeper understanding of what data science entails. With a focus on the problems data science;
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Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the;
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Frontiers in Data Science deals with philosophical and practical results in Data Science. A broad definition of Data Science describes the;
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data. The final chapter of the book discusses the role of a data science manager in helping an organization take the data-driven approach. By;
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Data Science Education 7 Meeting #6: Improving Reproducibility by Teaching Data Science as a Scientific Process 8 Meeting #7: Programs and;
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Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more;
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? Data Science Thinking paints a comprehensive picture of data science as a new scientific paradigm from the scientific evolution perspective, as;
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Monetize your company's data and data science expertise without spending a fortune on hiring independent strategy consultants to help;
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A pop science tour of time-travel technology profiles the work of Albert Einstein, Ronald Mallett and present-day innovators, providing;
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This text provides a comprehensive overview of Data Science. With the continued advancement in storage and computing technologies, data;
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A complete survey of the science and technology of wine-making, this book offers readers a guided tour through the production, cultivation;
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of massive amounts of data and potential solutions. Following a discussion on the integration of services computing, including cloud-based services;
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