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What is ML

Using Applied Mathematical Models for Business Transformation
Mathematical language.
Published in Chapter:
An Applied Mathematical Model for Business Transformation and Enterprise Architecture: Introduction and Basics (Int&Bas)
Copyright: © 2020 |Pages: 25
DOI: 10.4018/978-1-7998-1009-4.ch001
Abstract
The HMM-based framework offers such a high-level implementation environment that can be used by any transformation team member without any prior specific schooling or advanced mathematics models. The HMM can be used to implement and design enterprise architecture blueprints, business transformation projects or decision-making systems, mathematical models, algorithms, and it is supported by many real-life cases of various business domains. The uniqueness of this research is that the HMM promotes a holistic unbundling and the alignment of various enterprise architecture standards and strategies to support business transformation processes. Actual archaic business, information technology, and generic transformation processes are managed as separate black boxes in isolated silos, where their internal and external components create a messy hairball that is called the enterprise's information and communication system (ICS).
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Detection of DDoS Attack Using Machine Learning Techniques in Software Defined Networking
Artificial intelligence (AI) in the form of machine learning (ML) enables computer programmes to forecast outcomes more accurately without having been expressly taught to do so. Machine learning algorithms forecast new output values using historical data as input.
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Information Technology for Enhancing Public Sector Sustainability
This acronym stands for Machine Learning.
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Arrhythmia Detection and Classification on Cardiac Sensed Signals Using Deep Learning Techniques
Machine Learning (ML) is a subfield of artificial intelligence (AI) that focuses on the development of algorithms and statistical models that allow computers to learn and improve their performance on a specific task without being explicitly programmed.
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Machine Learning for Internet of Things-Based Smart Transportation Networks
Machine learning is a branch of AI (artificial intelligence) in which the system exhibits the ability to learn from the data and experience without explicitly programming it.
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