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Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example;
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This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical;
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This is a first-principles-based, practical introduction to the fundamentals of data science aimed at the mathematically-comfortable reader;
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Your logical, linear guide to the fundamentals of data science programming Data science is exploding-in a good way-with a forecast;
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Gain the R programming language fundamentals for doing the applied statistics useful for data exploration and analysis in data science and;
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field of data science. The coverage spans key concepts adopted from statistics and machine learning, useful techniques for graph analysis and;
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Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;
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This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail;
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This book introduces the basic methodologies for successful data analytics. Matrix optimization and approximation are explained in detail;
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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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This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry;
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This book quickly teaches students the fundamentals of using the SAS system to manage and analyze research data. It is intended for;
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author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science;
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author introduces the foundations of longitudinal and panel data analysis at a level suitable for quantitatively oriented graduate social science;
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Explore the world of data science through Python and learn how to make sense of data About This Book * Master data science methods;
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Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for;
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Optimization techniques are at the core of data science, including data analysis and machine learning. An understanding of basic;
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, functions, and elementary data structures.;
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, Republic of Korea Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea Presents the methodology of big data analysis;
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Learn the techniques and math you need to start making sense of your data About This Book * Enhance your knowledge of coding with;
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Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data;
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science using Python 3.5 * Save time (and effort) with all the essential tools explained * Create effective data science projects and avoid;
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