Machine Learning Interview Questions

What is the difference between stochastic gradient descent (SGD) and gradient descent (GD)? Both algorithms are methods for finding a set of parameters that minimize a loss function by evaluating parameters against data and then making adjustments. In standard gradient descent, you’ll evaluate all training samples for each set of parameters. This is akin to … Read more

What is Kernel Trick in an SVM Algorithm? Kernel Trick is a mathematical function which when applied on data points, can find the region of classification between two different classes. Based on the choice of function, be it linear or radial, which purely depends upon the distribution of data, one can build a classifier. What … Read more

How can you avoid overfitting ? By using a lot of data overfitting can be avoided, overfitting happens relatively as you have a small dataset, and you try to learn from it. But if you have a small database and you are forced to come with a model based on that. In such situation, you … Read more

What is Pruning in Decision Trees, and How Is It Done? Pruning is a technique in machine learning that reduces the size of decision trees. It reduces the complexity of the final classifier, and hence improves predictive accuracy by the reduction of overfitting. Pruning can occur in: Top-down fashion. It will traverse nodes and trim subtrees … Read more

What is Time series? A Time series is a sequence of numerical data points in successive order. It tracks the movement of the chosen data points, over a specified period of time and records the data points at regular intervals. Time series doesn’t require any minimum or maximum time input. Analysts often use Time series … Read more