A model of language consists of the categories which do not include?
Anonymous Quiz
15%
Language units
15%
Structural units
30%
Role structure of units
39%
System constraints
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Which of the following statements is true when you use 1×1 convolutions in a CNN?
Anonymous Quiz
18%
It can help in dimensionality reduction
16%
It can be used for feature pooling
17%
It suffers less overfitting due to small kernel size
50%
All the above
Machine Learning has various function representation, which of the following is not function of symbolic?
Anonymous Quiz
26%
Decision Trees
17%
Rules in propotional Logic
20%
Rules in first-order predicate logic
36%
Hidden Markov model
Which of the following statements is correct regarding the object-oriented programming concept in Python?
Anonymous Quiz
13%
Classes are real-world entities while objects are not real
29%
Objects are real-world entities while classes are not real
38%
Both objects and classes are real-world entities
20%
All of the above
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How Uber works
With a huge database of drivers, as soon as a user requests for car, their algorithms match a user with the most suitable driver within a 15 second window to the nearest driver. Uber stores and analyses data on every single trip the users take which is leveraged to predict the demand for cars, set the fares and allocate sufficient resources. Data science team at Uber also performs in-depth analysis of the public transport networks across different cities so that they can focus on cities that have poor transportation and make the best use of the data to enhance customer service experience.
With a huge database of drivers, as soon as a user requests for car, their algorithms match a user with the most suitable driver within a 15 second window to the nearest driver. Uber stores and analyses data on every single trip the users take which is leveraged to predict the demand for cars, set the fares and allocate sufficient resources. Data science team at Uber also performs in-depth analysis of the public transport networks across different cities so that they can focus on cities that have poor transportation and make the best use of the data to enhance customer service experience.
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