Machine learning Interview Questions (Part-6)

This article discusses a couple of machine learning (ML) interview questions asked frequently in data science related job roles. When should we prefer ridge regression over lasso? Explain with reason Ridge regression is a regression in which we use L2 regularization to give a penalty to the loss function to reduce loss in the optimization …

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Major Bioinformatics Databases

There are many free bioinformatics databases available, which offer a wealth of biological data and information. Some of the popular ones are discussed below. NCBI National Center for Biotechnology Information (NCBI) provides access to various biological databases, such as GenBank, PubMed, Protein, and Nucleotide. The National Center for Biotechnology Information (NCBI) is a public database …

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Hyperparameters in Machine Learning

Introduction Hyperparameters are the parameters that are explicitly defined by the user for the machine learning model. This helps the learning process of the machine learning algorithm. The prefix “hyper” in hyperparameter means top-level, indicating these are the controlling parameters to ensure model performance. The user selects the value of the hyperparameter before the training …

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Machine learning Interview Questions (Part-4)

This is one among the series of frequently asked interview questions in machine learning. Concepts are demonstrated with schematics wherever necessary Differentiate between local optimization and global optimization Optimization is a process of assigning a set of inputs to an objective function that can extract the best possible output from the objective function. Local optimization …

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