Úvod do experimentálnej techniky v biológii

E-book

Gabriela Andrejková - Ľubomír Antoni

Machine learning addresses the issues of how computer programs recognize complex patterns and make decisions based on data. In these university textbooks, we focus on theoretical knowledge in the field of machine learning in which we present the creation of concepts for objects, the preparation of concepts, hypotheses and the process of learning from examples. We describe Boolean formulas and their representations, probabilistic learning, linear and logistic regression, linear modeling and classification. Clustering and the Bayesian approach to machine learning conclude this publication.

University textbooks are intended for students of master's degree programs in computer science.

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E-book

Gabriel Semanišin - Emil Hutňan - Jana Oleničová

The proceedings contain abstracts of contributions from participants of the UNIFOS 2014 conference, University Information Systems in Košice, which took place from October 27 to 29, 2014.

ICT centers are important element that provide functioning and development hardware and software infrastructure at Slovak Universities. There are more differences between them in real position, management, personal sources and financing. ICT centers provide a wide range of services to large number of university users and they implement the policy of information security recently.

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E-book

Ladislav Janovec

An enormous progress in computer technology, closely linked with advances in computational chemistry, has enabled the user to exploit the principles of quantum chemistry to elucidate the chemical phenomena.

Computational chemistry is the branch of science that requires, except an academic knowledge, software skills to fully exploit a potential of theoretical methods. The aim of this textbook is to help the user take the legendary first step in the field of computational chemistry to opening a new horizon of knowledge.

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E-book

Michal Jaščur - Michal Hnatič

This textbook covers the fundamentals of phenomenological thermodynamics to the extent typically taught in standard theoretical physics courses at the undergraduate level in the Physics degree program. A slightly reduced scope is also taught in all interdisciplinary study programs combined with physics. In recent years, the time allocation for individual courses has been slightly reduced, which is reflected in our selection and coverage of topics.

Our primary aim was to provide a sufficiently solid explanation of the key concepts and laws of thermodynamics necessary for mastering further theoretical physics courses at the master's level (e.g., Statistical Physics, Condensed Matter Physics, Quantum Theory of Solids, Quantum Theory of Magnetism, etc.). The book also presents the essential minimum knowledge required for the study of further applications of thermodynamics in biophysics, biology, chemistry, and engineering disciplines.

Understanding individual sections, as well as the text as a whole, requires a grasp of the basic concepts of thermodynamics at the level of a General Physics course and knowledge equivalent to a standard university mathematics course. Each topic is treated with the utmost emphasis on conceptual clarity and mathematical rigor.

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