1,675 results for machine learning
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Journal Article
Business Valuation with Machine learning
The aim of the article is to test the hypothesis about the applicability of machine learning methods to train models that allow to accurately predict the market capitalization of an enterprise based on data contained in three main forms of financial statements: Income statement, Balance sheet, and…
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Journal Article
Data normalization in machine learning
In machine learning, the input data is often given in different dimensions. As a result of the scientific papers review, it is shown that the initial data described in different types of scales and units of measurement should be converted into a single representation by normalization or…
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Journal Article
INVESTIGATION MACHINE LEARNING MODEL USING STREAMLIT
Background. MLOps (Machine Learning Operations) is a relevant and important topic in the field of machine learning. It brings together the practices and processes needed to effectively develop, deploy, and manage machine learning models. Materials and methods. To predict complications after…
From your institution’s collections
- Machine learning dan computational intelligenceWidodo Budiharto · 2016 · UNILAK
- Machine learning (konsep dan implementasi)Yaya Heryadi · 2020 · UNILAK
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Journal Article
Machine Learning in the National Economy
This article examines the application of machine learning in the national economy. It describes the main concepts and methods of machine learning, including supervised, unsupervised, and reinforcement learning. Key areas of using this technology in the economy are analyzed, such as market trend…
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Journal Article
Prediction of Breast Cancer Using Machine Learning
…object of this study is to predict the breast cancer risk using various machine-learning approaches based on demographic, laboratory, and mammographic data. It employed a quantitative research design to assess the potential of machine learning (ML) in predicting breast cancer. It integrated…
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Journal Article
Predicting heart disease using machine learning algorithms
Increasing the accuracy of detecting heart disease is widely studied in the field of machine learning. Such a study is intended to prevent large costs in the field of healthcare and is the reason for the misdiagnosis. As a result, various methods of analyzing disease factors were proposed, aimed at…
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Journal Article
Recruitment in the Times of Machine Learning
How do socio-economic change and technological revolution change the way we manage people. How does the development of AI (Artificial Intelligence) affect the process of talent acquisition? The author will present the concepts of technological unemployment, creative class, millennials (generation…
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Journal Article
Machine Learning Techniques to Analyze Operator’s Behavior
…airline system and recovery solver extensively and to identify various machine learning algorithms that can be used to answer the following questions: "Will, the operator, use the recovery solver?" and "If the operator uses the recovery solver, which solution will she prefer?" In this paper, we…
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Journal Article Full text
Machine learning methods in predicting antimicrobial resistance
…diverse strategies to combat AMR. Within the context of AMR diagnostics, machine learning approaches for predicting bacterial resistance are under active investigation. This paper reviews state-of-the-art methods for predicting antibiotic resistance in individual bacterial isolates. The review…
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Journal Article
Investigating malware detection methods using machine learning
This paper examines methods for detecting malicious applications and software for the Android operating system using machine learning. Provides an analysis of a dataset containing binary features, such as permissions and API method calls that classify applications as malicious or safe. Various…
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Journal Article
Traffic congestion forecasting using machine learning methods
…methodology is proposed that combines time series analysis and deep learning, which is highly relevant for modeling nonlinear dependencies and patterns in traffic data. Purpose. The purpose of this study is to develop and test a predictive model capable of accurately forecasting traffic congestion…
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Journal Article
Machine learning opportunities to predict obstetric haemorrhages
…to human thinking. One of the particular AI variants is presented by machine learning (ML), which develops accurate predictive models using computer analysis. Machine learning is based on computer algorithms, the most common among them in medicine are the decision tree (DT), naive Bayes classifier…
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Journal Article
Мethods of Machine Learning in Ophthalmology: Review
Machine learning is applied in every field of human activity using digital data. In recent years, many papers have been published concerning artificial intelligence use in classification, regression and segmentation purposes in medicine and in ophthalmology, in particular. Artificial intelligence…
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Journal Article
Machine learning methods (tokenization) in marketing research
…is difficult and time-consuming, as it is usually done manually. Modern machine learning techniques, particularly tokenization, can be used to automate such data processing. The purpose of the study is to test this method application to data processing of the field research “Monitoring of the…
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Journal Article
FORECASTING CONSUMER ACTIVITY USING MACHINE LEARNING METHODS
This article discusses forecasting consumer activity, and in particular forecasting household energy consumption using machine learning. Forecasting household energy consumption using machine learning is a topic that addresses various aspects of efficient and environmentally friendly use of…
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Journal Article
Automatic classification of reviews based on machine learning
…approaches to the problem of tone classification in 3 classes using the machine learning methods on the example of three collections. The main objective that was set in this work is the comparison of different approaches to the text view within the frame of the vector model, several machine…
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Journal Article
Models and algorithms of privacy-preserving machine learning
The paper is devoted to the recent scientific problem of privacy-preserving machine learning. The problem actuality is determined by the growing need to use machine learning for personal data, as well as for data that make up commercial, medical, financial and other types of information protected…
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Journal Article Full text
Sensing using SERS-substrate and machine learning approaches
Background and Objectives: Accurate and duly determination of glucose levels is critical for the diagnosis and control of diabetes. Recently, optical methods for glucose determination have become the subject of increased interest due to their potential cost-effectiveness, portability, and low…
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Journal Article
Interpretable machine learning to detect well integrity issues
…a novel approach to evaluation of casing string integrity based on machine learning models has been proposed. The paper presents a procedure for application of interpretable machine learning to detect production casing leakage and provides a comparison of this approach with the ROC-AUC statistical…
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Journal Article Full text
Modeling security violation processes in machine learning systems
The widespread use of machine learning, including at critical information infrastructure facilities, entails risks of security threats in the absence of reliable means of protection. The article views the processes in machine learning systems as the ones occurring in information systems susceptible…
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