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Dig deep into the data with a hands-on guide to machine learning with updated examples and more!

Machine Learning: Hands-On for Developers and Technical Professionals provides hands-on instruction and fully-coded working examples for the most common machine learning techniques used by developers and technical professionals. The book contains a breakdown of each ML variant, explaining how it works and how it is used within certain industries, allowing



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This essential guide on subgroup analyses in the emerging area of personalized medicine covers the issues of subgroup analyses from a practical and a theoretical/methodological point of view. The practical part introduces the issues using examples from the literature where subgroup analyses led to unexpected or difficult-to-interpret results, which have been interpreted differently by different stakeholders. On the technical side, the book addresses



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End-to-end Data Analytics for Product Development: A Practical Guide for Fast Consumer Goods Companies, Chemical Industry and Processing Tools Manufacturers


 

An interactive guide to the statistical tools used to solve problems during product and process innovation

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Based on a standard curriculum in human genetics, each chapter equals one practical unit of the course and topics range from basics in human inheritance to genetics in major disease

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Numerical simulation is a technique of major importance in various technical and scientific fields. Used to understand diverse physical phenomena or to design everyday objects, it plays a major role in innovation in the industrial sector. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public. Simulation involves the

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This book highlights mathematical research interests that appear in real life, such as the study and modeling of random and deterministic phenomena. As such, it provides current research in mathematics, with applications in biological and environmental sciences, ecology, epidemiology and social perspectives.

The chapters can be read independently of each other, with dedicated references specific to each chapter. The book is organized in two main parts



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The modeling of cities and territories has progressed greatly in the last 20 years. This is firstly due to geographic information systems, followed by the availability of large amounts of georeferenced data both on the Internet and through the use of connected objects. In addition, the rise in performance of computational methods for the simulation and exploration of dynamic models has facilitated advancement. Geographical Modeling presents previously

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Excel 2019 for biological and life sciences statistics: a guide to solving practical problems / Thomas J. Quirk, Meghan H. Quirk, Howard F. Horton

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Hayden Library - QM608.C66 2018




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Recent advances in theoretical, applied, computational and experimental mechanics: proceedings of ICTACEM 2017 / B. N. Singh, Arnab Roy, Dipak Kumar Maiti, editors

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