359.866 hasil untuk machine learning
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Buku
MACHINE LEARNING APPLICATIONS IN HEALTHCARE
So, healthcare informatics is all about finding patterns in data and then learning from those patterns. Electronic health record (EHR) systems have greatly reduced healthcare costs by facilitating hospitals' access to and sharing of patients' medical records. Reducing operational costs and doing…
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Buku Teks lengkap
Regression Testing and Machine Learning
Among other areas of interest, I am life long learner of Software Testing. This Book is an intersection of Regression Testing and Machine Learning. This Book is for enthusiasts of Regression Testing and Machine Learning. I have liberally used a few of my own chapter sections from my other Books. A…
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Buku
Machine Learning and its Applications
\ "Machine Learning and Its Applications" is an in-depth exploration of machine learning concepts, methodologies, and real-world implementations, designed to cater to students, educators, and professionals. Authored by Mr. Nirmal S. Patel, Mr. Nihar K. Patel, Dr. K. Shanthi Latha, Mr. Amit A…
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Buku
GENETIC ALGORITHM AND MACHINE LEARNING
…this section, we will discuss inputs and input vectors in relation to the learning algorithms that we have created. Our focus will be on deep reinforcement learning. In particular, we will be concentrating on the ways in which the two ideas are connected to one another. We are going to speak about…
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Buku
HEALTHCARE SOLUTIONS USING MACHINE LEARNING
Turing Test is an experiment that examines whether or not the behaviours of a machine are indistinguishable from those of a human being. The test was named after Alan Turing. It was intended as a test to determine whether or not a computer have the ability to demonstrate "artificial" intelligence…
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Buku
MACHINE LEARNING APPLICATIONS IN FINANCE
It is now widely acknowledged that machine learning plays an essential role in a variety of financial services and applications. These services and applications include asset management, risk evaluation, computation, and even the acceptance of loans. Machine learning is a subfield of data science…
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Buku Teks lengkap
Machine Learning: Theory and Practice
The field of machine learning (ML) has rapidly evolved into one of the most impactful areas of computer science and artificial intelligence. Models once considered experimental are now powering applications we use every day—from recommendation systems and voice assistants to fraud detection and…
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Artikel Jurnal
Novices’ conceptions of machine learning
With machine learning becoming more and more prevalent in society, it also becomes a topic that is relevant for general K12 education. At the same time, modern machine learning is relying heavily on mathematics, requiring novel approaches to teaching it in settings where a full coverage is not…
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Artikel Jurnal
Machine-learning the string landscape
We propose a paradigm to apply machine learning various databases which have emerged in the study of the string landscape. In particular, we establish neural networks as both classifiers and predictors and train them with a host of available data ranging from Calabi–Yau manifolds and vector…
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Artikel Jurnal
Photovoltaic sizing using machine learning
…where the photovoltaic system is to be installed. This study introduces machine learning algorithms into the photovoltaic systems’ sizing problem for the first time. The proposed case-independent model automates the sizing process and is generalized to be applied at any location. Linear regression…
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Artikel Jurnal
Microbiome Preprocessing Machine Learning Pipeline
Background16S sequencing results are often used for Machine Learning (ML) tasks. 16S gene sequences are represented as feature counts, which are associated with taxonomic representation. Raw feature counts may not be the optimal representation for ML.MethodsWe checked multiple preprocessing steps…
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Artikel Jurnal Teks lengkap
Stellar Classification by Machine Learning
As an emerging subject with strong comprehensiveness, machine learning has made varying degrees of progress in various fields. In the field of astronomy, it has also been generally used, and there have been quantities of research using machine learning for data processing and model prediction. The…
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Artikel Jurnal Teks lengkap
Machine Learning Photovoltaic String Analyzer
Photovoltaic (PV) system energy production is non-linear because it is influenced by the random nature of weather conditions. The use of machine learning techniques to model the PV system energy production is recommended since there is no known way to deal well with non-linear data. In order to…
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