Conceptual

Large Language Models in Deep Learning

Large language models (LLM) are general purpose language models in deep learning. The foremost word “Large” in LLM indicates a large training dataset which is often in the petabyte scale with an enormous number of parameters. General purpose means the models are capable of handling common problems in our day today life. The BERT model […]

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Recognising Songs of Endangered Bird Species from Kerala using Deep Learning Techniques

Overview Birds are an incredibly diverse group of animals found all over the Earth. With over 10,000 known species, they come in all shapes, sizes, and colours, and they play a vital role in maintaining the delicate balance of ecosystems around the world. One of the most important roles that birds play is that of

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Essential Molecular Biology for Bioinformaticians

As a bioinformatician, you will be working with large amounts of biological and molecular data, which means that you need to have a solid understanding of the fundamental concepts in these fields. Molecular biology is a fascinating and complex field of study that deals with the study of the biological processes at the molecular level.

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Logistic Regression for Classification in Machine Learning

Logistic regression is an analytical technique in supervised machine learning for performing classification tasks. It is a classification algorithm based on probabilistic approach. Logistic regression approach can be used to make predictions on a categorical dependent variable. The algorithm extracts inferences from a given set of independent input variables and these inferences are used to

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