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Realistic Realtors Interview Questions and Answers
Q1. How do we train neural networks?
Neural networks are trained using algorithms that adjust the weights and biases of the network based on the input data and desired output.
Neural networks are trained using a process called backpropagation, where the error between the predicted output and the actual output is used to adjust the weights and biases of the network.
Training data is fed into the neural network, and the network's output is compared to the desired output to calculate the error.
The error is then propa...read more
Q2. What is hyperparameter tuning?
Hyperparameter tuning is the process of selecting the best set of hyperparameters for a machine learning model.
Hyperparameters are parameters that are set before the learning process begins.
Hyperparameter tuning involves adjusting hyperparameters to optimize the model's performance.
Common techniques for hyperparameter tuning include grid search, random search, and Bayesian optimization.
Q3. Find missing number from nth number array.
Find missing number from nth number array.
Iterate through the array and calculate the sum of all numbers
Calculate the sum of numbers from 1 to n using the formula n*(n+1)/2
Subtract the sum of array from the sum of numbers from 1 to n to find the missing number
Q4. What is overfitting?
Overfitting occurs when a machine learning model learns the training data too well, including noise and outliers, leading to poor generalization on new data.
Overfitting happens when a model is too complex and captures noise in the training data.
It can be identified when a model performs well on training data but poorly on unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
For example, a decision tree with too many branch...read more
Q5. Find 2nd max elements from aaray
Find 2nd max element from array of strings
Sort the array in descending order
Skip the first element (max element)
Return the second element
Q6. Explain inheritance and it types
Inheritance is a concept in object-oriented programming where a class inherits properties and behaviors from another class.
Inheritance allows a class to reuse code from another class.
Types of inheritance include single inheritance, where a class inherits from only one parent class, and multiple inheritance, where a class inherits from multiple parent classes.
Example: Class B inherits from Class A, so Class B can access all the properties and methods of Class A.
Q7. What is polymorphism
Polymorphism is the ability of a function or method to behave differently based on the object it is acting upon.
Polymorphism allows objects of different classes to be treated as objects of a common superclass.
It enables a single interface to be used for different data types or classes.
Examples include method overloading and method overriding in object-oriented programming.
Q8. Describe how you would approach a system design problem.
Q9. Tell me about the photolithography process
Photolithography is a process used in microfabrication to transfer patterns onto a substrate using light-sensitive materials.
Photolithography involves coating a substrate with a photoresist material
A mask containing the desired pattern is placed over the photoresist-coated substrate
The substrate is exposed to light, which passes through the mask and selectively exposes the photoresist
After exposure, the photoresist is developed to remove either the exposed or unexposed areas,...read more
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