Machine Learning Interview Questions

Is ARIMA model a good fit for every time series problem? No, ARIMA model is not suitable for every type of time series problem. There are situations where ARMA model and others also come in handy. ARIMA is best when different standard temporal structures require to be captured for time series data. What is inductive … Read more

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

You have to train a 12GB dataset using a neural network with a machine which has only 3GB RAM. How would you go about it? We can use NumPy arrays to solve this issue. Load all the data into an array. In NumPy, arrays have a property to map the complete dataset without loading it … Read more

How would you build a data pipeline? Data pipelines are the bread and butter of machine learning engineers, who take data science models and find ways to automate and scale them. Make sure you’re familiar with the tools to build data pipelines (such as Apache Airflow) and the platforms where you can host models and … Read more

How do you think quantum computing will affect machine learning? With the recent announcement of more breakthroughs in quantum computing, the question of how this new format and way of thinking through hardware serves as a useful proxy to explain classical computing and machine learning, and some of the hardware nuances that might make some … Read more

What does NLP stand for? NLP stands for Natural Language Processing. It is a branch of artificial intelligence that gives machines the ability to read and understand human languages. What distance metrics can be used in KNN? Following distance metrics can be used in KNN. Manhattan Minkowski Tanimoto Jaccard Mahalanobis What is algorithm independent machine learning? Machine … Read more