This article is one among the series of discussions on interview questions frequently asked in machine learning job roles Explain the concept confusion matrix in machine learning? Confusion matrix is a table displaying a summary of prediction results of a classification problem. Measuring accuracy of a model alone can be misleading in cases where the […]
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This is one among a series of frequently asked interview questions in machine learning published in this website Explain the terms Artificial Intelligence, Machine Learning, Deep Learning, and Reinforcement Learning? Artificial Intelligence (AI) is the domain of intelligent machines which can think rationally and act rationally. It uses algorithms to enable problem solving with robust
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The use of computational tools for data preprocessing and analysis is daily activity for any bioinformatician. Having a interdisciplinary field, a plethora of tools exist in the domain, written by developers from various fields and languages. Many times there can be multiple candidate tools exists to accomplish any given task. Often it is the decision
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This tutorial shows how to do molecular docking in colab. Molecular docking is an essential process in scientific drug discovery to predict the binding mode and affinity of a small molecule (ligand) to a target protein. This method can help to identify potential drug candidates by virtually screening large chemical libraries and selecting compounds that
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It is often required for aspiring data scientists to do portfolio projects either to show their skills or just simply for the pure joy of doing it. In either cases, the complexity of the project can be often a small one to medium one. To truly convince the recruiters, it is often required to do
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What are Support Vector Machines? Support Vector Machines (SVM) is one of the most elegant methods used for classification and regression in machine learning (ML). We can use SVM when we have a bunch of objects/features which we want to classify. SVM performs the classification by drawing a hyperplane (Figure.1) to separate each category of
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This post is a case study on primary or metastasis classifier using deep learning models. Overview Genetics is behind every physiological aspect of a living being such as height, eye color, hair color, etc. Mutations are unwanted changes happening to genetic code for various reasons. The main reasons account for such changes are hereditary, exposure
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This tutorial walks you through building a breast cancer survivability prediction classifier which use clinical and gene expression data by employing machine learning techniques. Overview Cancer is a disease in which cells in the human body grow uncontrollably. This phenomenon often spreads to other parts of the body. Human bodies contain trillions of cells. Human
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The diverse properties of materials upon which material science researchers possess enormous enthusiasm are categorized into magnetic, transport, optical and superconducting properties. As we know, materials are made up of atoms comprised of electrons and nuclei and all these material properties originate from the interactions among electrons and atomic nuclei. Classical mechanics can describe the
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As an experimental physicist, I am always curious on whether I can extract accurate information in a situation where I have an enormous amount of experimental data whereas I left with apparently no direct theoretical/conceptual knowledge on it. The world around us is described with well formulated physics-based models. We can predict the orbit of
Physics Trained Machine Learning Models Read More »