Choose 3 articles from the Rasmussen library that discuss how machine learning w

Question

Choose 3 articles from the Rasmussen library that discuss how machine learning was applied to their organization. After reviewing the articles, provide a complete definition of machine learning, discuss the benefits and challenges of applying machine learning, and provide examples of problems that machine learning can solve. Guidelines: Please follow APA guidelines for the paper: 3 pages, double-spaced, 12-point Times New Roman font, one-inch margins. Remember to include a References page that includes all references to material used in your paper. In-text citations are also required in the body of your paper.

Explanation / Answer

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

Machine learning algorithms are often categorized as supervised or unsupervised.

Machine learning enables analysis of massive quantities of data. While it generally delivers faster, more accurate results in order to identify profitable opportunities or dangerous risks, it may also require additional time and resources to train it properly. Combining machine learning with AI and cognitive technologies can make it even more effective in processing large volumes of information.

WHAT ARE THE BENIFITS OF MACHINE LEARNING?

WHAT ARE THE CHALLENGES OF MACHINE LEARNING?

EXAMPLES:

Training machines to process and analyse threat data from numerous sources brings two clear benefits for information security in organizations. Firstly, as previously mentioned, there are significant advantages in the scale of data which can be collected and analysed by AI systems. This performance gain allows businesses to task people with performing roles that require uniquely human capabilities and will result in greater efficiency. Secondly, the machinery gives structure to the data that makes it infinitely easier to get to relevant threat intelligence quickly.

In our recent webinar “Machine Learning in Black and White,” you can hear more about how the latest AI techniques are being applied in information security by defenders, as well as how attackers are adopting machine learning to conduct increasingly sophisticated attacks and to circumvent AI-based defences.

References:

https://www.tandfonline.com/doi/pdf/10.1080/21693277.2016.1192517

https://www.expertsystem.com/machine-learning-definition/

https://en.wikipedia.org/wiki/Machine_learning

https://www.recordedfuture.com/machine-learning-definition/

Related Questions

Navigate

• Browse (All)
• Browse C
• Subjects

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.