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AI AllOther (6) What of the following is considered to be a pivotal event in the history of AI. A. 1949, Donald O, The organization of Behaviour, B. 1950, Computing Machinery and Intelligence. C. 1956, Dartmouth University Conference Organized by John McCarthy D. 1961, Computer and Computer Sense. E. None of the above
1 3779Natural language processing is divided into the two subfields of: A. symbolic and numeric B. time and motion C. algorithmic and heuristic D. understanding and generation E. None of the above
1 7662High-resolution, bit-mapped displays are useful for displaying: A. clearer characters B. graphics C. more characters D. All of the above E. None of the above
1 4814A series of AI systems developed by Pat Langley to explore the role of heuristics in scientific discovery. A. RAMD B. BACON C. MIT D. DU E. None of the above
1 4477A.M. turing developed a technique for determining whether a computer could or could not demonstrate the artificial Intelligence,, Presently, this technique is called A. Turing Test B. Algorithm C. Boolean Algebra D. Logarithm E. None of the above
1 4634A Personal Consultant knowledge base contain information in the form of: A. parameters B. contexts C. production rules D. All of the above
1 3999Which approach to speech recognition avoids the problem caused by the variation in speech patterns among different speakers? A. Continuous speech recognition B. Isolated word recognition C. Connected word recognition D. Speaker-dependent recognition
1 3942Which of the following, is a component of an expert system? A. inference engine B. knowledge base C. user interface D. All of the above
1 4537
What is morpheme nlp terminology?
You own a clothing enterprise and want to improve your place in the market. How will you do it from the ground level ?
What is the scope of data mining?
What are the population, sample, training set, design set, validation set, and test set?
How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?
What is a bayesian model?
What are the three types of algorithms?
What is natural language understanding (nlu)?
What are the roles and responsibilities of a data scientist?
Explain the differences between model-based and model-free reinforcement learning.
What is semantic caching, and how is it used in LLMs?
Which is used to compressed gasses to drive (power) the robot ?
Why is logistic regression better than naive bayes?
Explain the masked language model?
Which process makes different logical expression looks identical?