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Appropriate Problems for Decision Tree Learning - Artificial intelligence
It is a expert job in AI to select accurately the right learning representation for a particular learning job. As convoluted by Tom Mitchell, decision tree learning is best suited to problems with these characteristics:
In addition to that, decision tree learning is robust to mistakes in the data. In particular, it will act well in the light of (i) mistakes in the categorization occurrences given (ii) errors in the features-value pairs provided and (iii) missing values for fix features for fix examples.
Explain The do while loops The do while loops is similar, but the test occurs after the loop body is executed. This ensures that the loop body is run at least once.
RAW and WAW - Data hazards: RAW (read after write) - j tries to read a source before i writes it, hence j wrongly gets the old value .This is the most usual type of
Byteland county is very famous for luminous jewels. Luminous jewels are used in making beautiful necklaces. A necklace consists of various luminous jewels of particular colour. Nec
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In MS-DOS device drivers are installed and loaded dynamically it implies that they are loaded into memory when computer is started or re-booted and accessed by operating system as
Rectifier output with fitters: When half-wave and full-wave rectification suffice to deliver a type of DC output, neither produces constant-voltage DC (direct current). To gen
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If the input to T-flipflop is 100 Hz signal, the final output of the three T-flipflops in cascade is ? Ans. The final output of the three T-flip-flops in cascade is 12
Make a nested struct to store a person's name, address, and phone numbers. The struct should have 3 fields for the name, address, and phone. The address fields and phone fields wi
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