How Machine Learning Will Change The World
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Machine Learning is the process by which a machine learns through Artificial Intelligence. It focuses on the use of data and algorithms to imitate the way humans learn, thereby improving its accuracy to cognitive intelligence.
There has been numerous breakthroughs in machine learning as it has become a part of the organizational operations. Automation of tasks through AI and predicting patterns in revealing concerns can now be easily addressed using machine learning.
At Global Investment Bank and Capital Trust, we believe in breakthrough technologies that transform how the world connects, computes, and communicates.
Global Investment Bank and Capital Trust CEO, Roger Corman stated such while supporting the implementation of various technological innovations using AI and machine learning.
Supporting the latest startups of AI is a vital portion of the world economy as such breakthrough innovations are only possible with better knowledge and understanding of machine learning, which mostly the startups have, ready to mentor new ideas.
Machine Learning Prediction Accuracy
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Machine learning continues forth through continuous collections and learnings from various data models.
Automated integration of data and training models enables real-time decision making. Such leads to high accuracy in predictions of various types of outputs as per the business or organizational requirements.
Mostly based on the historical data, accuracy in predictions are determined through scenarios which has commonly occured in the past. However, as the word 'prediction' may not seem to be trustworthy, inclusion of more data and continuous learning through trainings of data models ensures a more advanced predictive analysis.
Enhanced AI Based Security
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Analyzing data and patterns helps in better detection of malwares and security breaches. Managing millions of data is not possible for a human, therein comes the role of machine learning.
Through supervised and unsupervised learnings, various security applications are now able to detect suspicious activities or malicious websites involving potential data breach.
Security Orchestration Automation and Response (SOAR) has been adopted by organizations to advance their security through automated response to cyber threats and continuous learnings from new events thereby predicting better to provide a holistic protection.
Machine learning is not new to cybersecurity, first of all. It can be very powerful. Unsupervised learning was used for many, many years and still is in those sorts of applications. Supervised learning came into prominence as a tool for security practitioners in the areas like where classification is needed.
As finely stated by Chris Ford, VP of product for Threat Stack in an interview with TechRepublic's Karen Roby, about supervised and unsupervised machine learning.