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, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can;
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and the Automated Modeler to the Data Manager and Social Network Analysis. Get predictive analysis working for you. Highlights include;
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and prediction. More than 100 analytics techniques and methods provide big data professionals, business intelligence professionals and citizen;
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This text highlights the difference between analytics and data science, using predictive analytic techniques to analyze different;
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with an emphasis on predictive analytics. Given the booming interest in analytics and data science, this book is timely and informative. It;
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approach starts by defining the problem and moves on to identifying relevant data. We will also be performing data preparation, exploring and;
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Predictive analytics, data mining and big data are key topics for organizations who want to leverage the ever increasing amounts;
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, machine learning and artificial intelligence, to analyse current data and make predictions about unknown future events. In business terms, this;
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Data Analytics in Biomedical Engineering and Healthcare explores key applications using data analytics, machine learning, and deep learning;
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from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses;
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from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP bridges the gap between courses;
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Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python;
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Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the;
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Drawing on the authors' two decades of experience in applied modeling and data mining, Foundations of Predictive Analytics presents the;
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Predictive analytics refers to making predictions about the future based on different parameters which are historical data, machine;
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understanding business performance based on extensive use of data, statistical and quantitative analysis, explanatory and predictive modeling, and fact;
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. Practical Predictive Analytics and Decisioning Systems for Medicine provides research tools to analyze these large amounts of data and addresses;
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Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future. All it takes is a little;
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used to improve performance tracking, customer segmentation for resource optimization, patterns and classification strategies, and logistics;
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, merging, joining, concatenating, exploring, grouping, and plotting data with pandas and numpy * Create dummy datasets and simple mathematical;
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defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use;
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defines sports data to be used and explains why the unique nature of sports would make analytics useful. The book also explains why the proper use;
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Make sense of your data and predict the unpredictable About This Book * A unique book that centers around develop six key practical;
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and Business Analytics (ICDSBA- 2017), which was held during September 23-25 2017 in ChangSha, China. As we all know, the field of data;
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data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This;
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sections named: big data analytics: vision and perspectives; financial data analytics and data streams; web and social media data; big data systems;
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predictive models Book Description Social Media and the Internet of Things have resulted in an avalanche of data. Data is powerful but not;
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