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NLP - Natural Language Processing.r B. Conscious integration.r C. Artificial General Al.r D. Conscious simul-ation.r Answer: Ar Explanation:ExplanationNLP - Natural Language Processing is an example of narrow AI. It is a type of AI system that is able to understand, interpret, and generate natural language. NLP has become increasingly popular over the past few years, as it has been used to create applications such as chatbots, virtual assistants, and search engines. NLP systems are able to learn language and the context in which it is used, and they are able to understand the nuances of language and its different meanings. References: BCS Foundation Certificate In Artificial Intelligence Study Guide, https://bcs.org/certifications/foundation-certificates/artificial-intelligence/r NEW QUESTION # 46 What technique can be adopted when a weak learners hypothesis accuracy is only slightly better than 50%?r A. Iteration.r B. Over-fittingr C. Activation.r D. Boosting.r Answer: Dr Explanation:Explanation* Weak Learner: Colloquially, a model that performs slightly better than a naive model.More formally, the notion has been generalized to multi-class classification and has a different meaning beyond better than 50 percent accuracy.For binary classification, it is well known that the exact requirement for weak learners is to be better than random guess. [...] Notice that requiring base learners to be better than random guess is too weak for multi-class problems, yet requiring better than 50% accuracy is too stringent.- Page 46, Ensemble Methods, 2012.It is based on formal computational learning theory that proposes a class of learning methods that possess weakly learnability, meaning that they perform better than random guessing. Weak learnability is proposed as a simplification of the more desirable strong learnability, where a learnable achieved arbitrary good classification accuracy.A weaker model of learnability, called weak learnability, drops the requirement that the learner be able to achieve arbitrarily high accuracy; a weak learning algorithm needs only output an hypothesis that performs slightly better (by an inverse polynomial) than random guessing.- The Strength of Weak Learnability, 1990.It is a useful concept as it is often used to describe the capabilities of contributing members of ensemble learning algorithms. For example, sometimes members of a bootstrap aggregation are referred to as weak learners as opposed to strong, at least in the colloquial meaning of the term.More specifically, weak learners are the basis for the boosting class of ensemble learning algorithms.The term boosting refers to a family of algorithms that are able to convert weak learners to strong learners.https://machinelearningmastery.com/strong-learners-vs-weak-learners-for-ensemble-learning/ The best technique to adopt when a weak learner's hypothesis accuracy is only slightly better than 50% is boosting. Boosting is an ensemble learning technique that combines multiple weak learners (i.e., models with a low accuracy) to create a more powerful model. Boosting works by iteratively learning a series of weak learners, each of which is slightly better than random guessing. The output of each weak learner is then combined to form a more accurate model. Boosting is a powerful technique that has been proven to improve the accuracy of a wide range of machine learning tasks. For more information, please see the BCS Foundation Certificate In Artificial Intelligence Study Guide or the resources listed above.r NEW QUESTION # 47 A vector in vector calculus is a quantity that has magnitude and direction.What is a vector in computer programming?r A. A constantr B. A two-dimensional array of scalars.r C. An array with one dimension.r D. An array of complex numbersr Answer: Cr Explanation:ExplanationIn computer programming, a vector is a data structure that contains a collection of elements that are all of the same type. Each element in the vector has an associated index, which can be used to access and modify the element at that index. Vectors are commonly used to store collections of numerical values (e.g., integers or floating-point numbers) or strings, but they can also be used to store any type of data.References: [1] BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 36 [2] APMG International, "What is a Vector in Computer Programming?", https://apmg-international.com/en/blog/what-is-a-vector-in-computer-programming/ [3] EXIN, "What is a Vector in Computer Programming?", https://www.exin.com/blog/what-is-a-vector-in-computer-programming/r NEW QUESTION # 48 In an Al project the domain expert is the person...r A. with technical and managerial oversight of the business planr B. who measures the trustworthiness of the Al systemr C. who manages the agile project and writes the technical terms of referencer D. with special knowledge or skills in the area of endeavour and defines what is fit for purpose'r Answer: Dr Explanation:ExplanationIn an AI project, a domain expert is a person with special knowledge or skills in that particular area of endeavour, and they are responsible for defining what is "fit for purpose" for the project. The domain expert provides insights into the problem and suggests ways to address it. They also provide guidance on evaluating and validating the AI system and its outputs. The domain expert is also responsible for communicating with stakeholders and providing feedback on the progress of the project. References:* BCS Foundation Certificate In Artificial Intelligence Study Guide (2019), AI & People, Chapter 12.* https://www.apmg-international.com/en/al-adoption/domain-expert/r NEW QUESTION # 49......r P.S. Free 2023 APMG-International Artificial-Intelligence-Foundation dumps are available on Google Drive shared by TestSimulate: https://drive.google.com/open?id=1e3w4MM2dVxQSQv0rrwfFj1pH24twvnEMr Tags: Artificial-Intelligence-Foundation Valid Dumps Files,Latest Artificial-Intelligence-Foundation Test Format,Latest Artificial-Intelligence-Foundation Exam Testking,Artificial-Intelligence-Foundation Reliable Test Tips,Valid Braindumps Artificial-Intelligence-Foundation Ebook,Artificial-Intelligence-Foundation PDF,Artificial-Intelligence-Foundation Reliable Test Bootcamp,New Artificial-Intelligence-Foundation Dumps Sheet,Test Artificial-Intelligence-Foundation Questions Pdf,Reliable Artificial-Intelligence-Foundation Test Simulatorr
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