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Hybrid algorithm description

Advanced Analytics and Artificial Intelligence Applications Online Course https://giladjames.com Section: Bio-Inspired Hybrid Algorithm for Web Services Clustering Lesson: Hybrid algorithm description Advanced Analytics and Artificial Intelligence Applications. This course is brought to you by Gilad James Mystery School. Learn more at Gilad James.com. “The key challenge is not so much globalization. It is what I call the fourth industrial revolution. Because its technology which creates major changes in our daily lives. It’s a technology that creates fears. What we want to do is make the world much more aware. On the one hand of the opportunity of the new technology but on the other hand the risks and dangers we encounter”. —Klaus Schwab Introduction The opportunities and complexities associated with the digital era can be overwhelming to industries and markets, which face an enormous amount of potential information in each transaction. Being aware of trends in the data pool and benefiting from hidden information has created a new paradigm, redefining the meaning of corporate power. Access to information can make organizations more effective and help them to reach their goals. Big data analytics (BDA) enables industries to describe, diagnose, predict, prescribe, and find hidden growth opportunities, potentially increasing business value. BDA uses advanced analytical techniques to enhance knowledge and improve decision-making by reducing the complexity of exponentially increasing amounts of data. BDA uses novel and sophisticated algorithms to analyze real-time data, resulting in highly accurate analytics. Depending on the problem being solved, these complex algorithms can be allocated to either deep learning or machine learning (ML) approaches. A significant consequence of the digital world is the creation of bulk raw data. Managers are responsible for managing this valuable capital, with its various shapes and sizes, on the basis of organizational needs. Big data has the power to affect all aspects of society, from social to educational. As the volume of raw data increases, particularly in technology-based companies, the issue of managing it becomes more critical. The variety, velocity, and volume of raw data warrant the use of advanced tools to overcome its complexity and to reveal the hidden information embedded in it. Thus, BDA has been proposed as a means of experimentation, simulation, data analysis, and monitoring. One BDA tool, advanced analytics (AA), can provide the foundation for predictive analysis on the basis of supervised and unsupervised data input. A reciprocal relationship exists between the power of AA and data input—the more precise and accurate the input data, the more effective the analytical performance. Additionally, ML, artificial intelligence (AI) and deep learning as subfields of AA can be used to extract knowledge from hidden data trends . The growing rate of data production in the digital era has introduced the concept of big data, which is defined by its significant volume, variety, veracity, velocity, and high value. Big data has created challenges for analysis, requiring organizations to deploy new analytical approaches and tools to overcome the complexity and magnitude of different data types (structured, semi-structured, and unstructured). Thus, BDA offers a sophisticated technique that can analyze an enormous volume of data and manage its complexity. BDA can be used to support projects in innovation, productivity, and competition by examining, processing, discovering, and exhibiting results to uncover hidden patterns and provide insights into interesting contextual relationships. Complexity reduction and managing the cognitive burden of a knowledge-based society are key benefits of BDA. The most critical contributor to the success of BDA is feature identification, which defines the most crucial elements affecting results. This is followed by identifying correlations between inputs and a dynamic given point, which can change from time to time . As a result of the rapid evolution of BDA, e-commerce and global connectivity have flourished. Governments have also taken advantage #advanced #analytics #and #artificial #intelligence #applications