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NEW QUESTION 31
With a large dataset, limited computational resources or frequent new data to learn from, we can adopt what type of machine learning?
- A. Online learning.
- B. Patchwork learning.
- C. Big Data learning.
- D. Batch learning.
Online learning is a type of machine learning that can be used when a large dataset is limited in computational resources or if the data is frequently changing. It allows the system to learn from new data as it is being presented, rather than having to re-train the entire dataset each time new data is added. This makes it more efficient and effective than batch learning, as it only needs to process the new data and not the entire dataset.
Online learning is often used in applications such as fraud detection, where new data is constantly being added and needs to be analyzed quickly.
For more information, please refer to the BCS Foundation Certificate In Artificial Intelligence Study Guide (https://www.bcs.org/upload/pdf/bcs-foundation-certificate-in-artificial-intelligence-study-guide.pdf) or the EXIN Artificial Intelligence Foundation Certification (https://www.exin.com/en/exams/artificial-intelligence-foundation).
NEW QUESTION 32
In Machine learning what are a brain's axons called?
- A. Edges
- B. Dendrites
- C. Nodes
- D. Tetrahedra.
NEW QUESTION 33
Which factor of a Waterfall' approach is most likely to result in the failed delivery of an Al project?
- A. Takes longer to deliver all functional requirements.
- B. Discourages revisiting and revising any prior phase once it is complete.
- C. Discourages collaboration and cross boundary communication.
- D. Takes longer to complete the design phase of the project.
The Waterfall approach is a sequential design process in which each phase of development must be completed before the next phase can begin. This means that once a phase is complete, it is difficult to go back and make changes, as any changes made to the project could potentially affect all the other phases. As a result, the Waterfall approach can make it difficult to adapt to changing customer requirements or adjust to new technology. This can ultimately lead to the failed delivery of an AI project.
References:  BCS Foundation Certificate In Artificial Intelligence Study Guide, Page number 19  APMG International, "What is a Waterfall Model?", https://apmg-international.com/en/blog/what-is-a-waterfall-model/  EXIN, "What is the Waterfall Model?", https://www.exin.com/blog/what-is-the-waterfall-model/
NEW QUESTION 34
What is defined as a machine that can carry out a complex series of tasks automatically?
- A. A production line.
- B. An autonomous vehicle.
- C. A robot
- D. A computer.
NEW QUESTION 35
How could machine learning make a robot autonomous?
- A. Use NLP (Natural Language Processing) to listen
- B. Use OCR, optical character recognition, to read documents
- C. Learn from sensor data and plan to carry out a task.
- D. Use actuators to modify its environment
NEW QUESTION 36