Technical Interview Questions
Applications of supervised machine learning include: Email Spam Detection Here we train the model using historical data that consists of emails categorized as spam or not spam. This labeled information is fed as input to the model. Healthcare Diagnosis By providing images regarding a disease, a model can be trained to detect if a person … Read more
is a subset of machine learning that involves systems that think and learn like humans using artificial neural networks. The term ‘deep’ comes from the fact that you can have several layers of neural networks. One of the primary differences between machine learning and deep learning is that feature engineering is done manually in machine … Read more
The three stages of building a machine learning model are: Model Building Choose a suitable algorithm for the model and train it according to the requirement Model Testing Check the accuracy of the model through the test data Applying the Model Make the required changes after testing and use the final model for real-time projects … Read more
When the training set is small, a model that has a right bias and low variance seem to work better because they are less likely to overfit. For example, Naive Bayes works best when the training set is large. Models with low bias and high variance tend to perform better as they work fine with … Read more
Linear Regression Analysis consists of more than just fitting a linear line through a cloud of data points. It consists of 3 stages– (1) analyzing the correlation and directionality of the data, (2) estimating the model, i.e., fitting the line, and (3) evaluating the validity and usefulness of the model. The process of carrying … Read more