1.065 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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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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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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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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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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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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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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Scientific Machine Learning — First Edition (2026)
Scientific Machine Learning is a concept-first, evidence-aware graduate textbook by Ahmed Fathi, Alexandria University. Its 34 chapters in eight parts cover foundations, equation discovery, structure-preserving dynamics, physics-informed and operator-learning methods, inverse problems and…
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Machine Learning Tools for Environmental Sustainability.
The book "Machine Learning for Environmental Sustainability," is designed to establish and explore the vital intersection between global ecological crises and advanced artificial intelligence. The book t begins by asserting that environmental sustainability is an urgent global imperative, detailing…
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