Artificial Intelligence Interview Questions and Answers
Question - 31 : - What is perceptron in Machine Learning?
Answer - 31 : - Perceptron is an algorithm that is able to simulate the ability of the human brain to understand and discard; it is used for the supervised classification of the input into one of the several possible non-binary outputs.
Question - 32 : - What is a recommendation system?
Answer - 32 : -
A recommendation system is an information filtering system that is used to predict user preference based on choice patterns followed by the user while browsing/using the system.
Question - 33 : - Can you name three feature selection techniques in Machine Learning?
Answer - 33 : -
- Univariate Selection
- Feature Importance
- Correlation Matrix with Heatmap
Question - 34 : - List the applications of Machine Learning.
Answer - 34 : -
- Image, speech, and face detection
- Bioinformatics
- Market segmentation
- Manufacturing and inventory management
- Fraud detection, and so on
Question - 35 : - Define F1 score.
Answer - 35 : -
F1 score is the weighted average of precision and recall. It considers both false positive and false negative values into account. It is used to measure a model’s performance.
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Answer - 36 : -
Model accuracy, a subset of model performance, is based on the model performance of an algorithm. Whereas, model performance is based on the datasets we feed as inputs to the algorithm.
Question - 37 : - What are the components of relational evaluation techniques?
Answer - 37 : -
- Data acquisition
- Ground truth acquisition
- Cross-validation technique
- Query type
- Scoring metric
- Significance test
Question - 38 : - What is regularization in Machine Learning?
Answer - 38 : -
Regularization comes into the picture when a model is either overfit or underfit. It is basically used to minimize the error in a dataset. A new piece of information is fit into the dataset to avoid fitting issues.
Question - 39 : - What is a hash table?
Answer - 39 : -
A hash table is a data structure that is used to produce an associative array which is mostly used for database indexing.
Question - 40 : - List the steps involved in Machine Learning.
Answer - 40 : -
- Data collection
- Data preparation
- Choosing an appropriate model
- Training the dataset
- Evaluation
- Parameter tuning
- Predictions