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 3170Natural 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 7026High-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 4036A 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 3793A.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 3955A Personal Consultant knowledge base contain information in the form of: A. parameters B. contexts C. production rules D. All of the above
1 3248Which 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 3167Which 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 3801
Specify the agent architecture name that is used to capture all kinds of actions. a) Complex b) Relational c) Hybrid d) None of the mentioned
What are difficulties in nlu?
What is meant by deep learning?
What is logistic and linear regression?
What are the disadvantages of breadth-first search algorithm?
What are the different dashboards in tensorflow?
Can word embedding be used in tensorflow? Name two models used in word embedding?
What measure how far the predictions are from the actual values in machine learning?
How is a normal distribution different from chi square distribution?
Explain what are the different problems that 'data mining” can solve?
What is Overfitting and Underfitting and how to combat them?
Explain OLS in brief?
How long should a pip last?
What are generators in Python?
What are the basics of machine learning?