The diploma thesis deals with definition of the main part of optimal portfolio of pharmaceutical company. The goal of the thesis is to identify top ten anatomical-therapeutic groups by sales, which can set up the main part of maximized sales portfolio. Approach of the diploma thesis is authentic strategic decision of man-agement of generic pharmaceutical company that penetrates Czech market. Dispensable materials for manager decisions consist of common access resources. Materials go with information about competition's sales, figures about the medication's movement in distribution chain and data of payer's costs. The decision will be made in simple one-criterion choice. The significance of the anatomical-therapeutic groups will be confirmed by epidemiological data.

The major objective of this thesis is to perform a real data mining task of classifying term deposit accounts holders. For this task an anonymous bank customers with low funds position data are used. In correspondence with CRISP-DM methodology the work is guided through these steps: business understanding, data understanding, data preparation, modeling, evaluation and deployment. The RapidMiner application is used for modeling. Methods and procedures used in actual task are described in theoretical part. Basic concepts of data mining with special respect to CRM segment was introduced as well as CRISP-DM methodology and technics suitable for this task. A difference in proportions of long term accounts holders and non-holders enforced data set had to be balanced in favour of holders. At the final stage, there are twelve models built. According to chosen criterias (area under curve and f-measure) two best models (logistic regression and bayes network) were elected. In the last stage of data mining process a possible real-world utilisation is mentioned. The task is developed only in form of recommendations, because it can't be applied to the real situation.

The aim of this thesis is to analyze the economic effects of the VAT rate changes to the czech households. Under investigation are three VAT rate regimes including the standard VAT rate and the reduced VAT rate of 21% and 15%, the uniform VAT rate of 17,5% and the standard VAT rate and two reduced VAT rates of 21%, 15% and 10%. The first of two intermediate aims of this thesis is to assign the appropriate tax rate to divisions, groups and classes of the classification CZ-COICOP at each of the evaluated VAT rate regimes. The second intermediate aim is to evaluate impacts of different tax burden caused by different VAT rate regime to the czech households devided into deciles by their income.

The main goal of this paper is the identification of comments on internet websites. The theoretical part is focused on artificial intelligence, mainly classifiers are described there. The practical part deals with creation of training database, which is formed by using generators of features. A generated feature might be for example a title of the HTML element where the comment is. The training database is created by input of classifiers. The result of this paper is testing classifiers in the RapidMiner program.

This work focuses on the topic of machine learning, specifically implementation of a program for automated classification using deep learning. This work compares different trainable models of neural networks and describes practical solutions encountered during their implementation.

This thesis deals with human recognition on a videorecording. Convolution neural network was used for face recognition, from which we will get multidimensional vector, which will allow to determine person’s identity. There are demands imposed on the system, for it to be able to work in real time and could be used for example for person recognition at various conferences, or as a part of security system. Whole system is written in Python language. Part of this thesis is dataset in form of videorecords with persons.

This Master thesis deals with usage of radar signal for vehicle classification. The thesis uses radar modules with continuous wave based on Doppler effect. Radar signal is processed by a series of signal processing method finished by Fourier transform. Data produced by FFT is used to create SVM and AdaBoost classifier which can be used to classify vehicles into groups.

This thesis deals with categorization of short spam texts from SMS messages. First part summarizes current methods for text classification and~it's followed by description of several commonly used classifiers. In following chapters test data analysis, program implementation and results are described. The program is able to predict text categories based on predefined set of classes and also estimate classification accuracy on training data. For the two category types, that I designed, classifier reached accuracy of 82% and 92% . Both preprocessing and feature selection had a positive impact on resulting accuracy. It is possible to improve this accuracy further by removing portion of samples, which are difficult to classify. With 80\% recall it is possible to increase accuracy by 8-10%.

Today exists many semi-structured documents, whitch we want convert to structured form. Goal of this work is create a system, that make this task more automatized. That could be difficult problem, because most of these documents are not generated by computer, so system have to tolerate differences. We also need some semantic understanding, thats why we choose only domain of meeting minutes documents.

This thesis focuses on the field of prosthetics, especially the issue of active prosthesis control. The goal is to perform a comprehensive analysis, design and construction of a prosthetic system that, based on the analysis of sensory data (such as an EMG signal from multiple channels), can correctly classify a gesture and a subsequent moving of the limb model. The first parts of the thesis are an important description of the critical components and important parameters of the active prosthesis system, including comparison and selection of available open source solutions. Next is a proposal of interconnection and description of individual hardware and software components. It also includes documentation of the real constructed system, which consists of the InMoov robotic hand, the Raspberry Pi controller and accessories. The results are critically evaluated in the last part of this work.