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Q1. The two main categories of Machine Learning algorithms that are widely applied in industries are Supervised Learning algorithm and Smart Learning algorithm.
Q2. What is the relationship between AI Model, Data and Learning Algorithm?
Q3. Learning by mapping an input to an output based on examples of input-output pairs. Each example is a pair consisting of input features and the desired output labels (a class or a targeted value). This best describes
Q4. Learning without the presence of a teacher and where the correct answers to the problem are unknown, best describes an algorithm based on
Q5. In a classification problem, the outputs are _____.
Q6. Fraud Detection, Face Recognition, Image Classification and Diagnostics are ML applications in _______.
Q8. Suppose you are working on weather prediction and your weather station makes either one of the three predictions for each day’s weather: Sunny, Cloudy or Raining.
You would like to use a learning algorithm to predict tomorrow’s weather.
Would you treat this as a classification or a regression problem?
Q7. Suppose you are working on weather prediction and would like to use a learning algorithm to predict tomorrow’s temperature (in degrees Centigrade/Fahrenheit).
Would you treat this as a classification or a regression problem?
Q9. The formula: Y= MX + C, represents which type of Machine Learning model?
Q10. y = 7x+5 is best described as