DNA sequencing is a way to read the genetic code that makes up all living things. It is like reading a recipe book for life, except that the “ingredients” are different molecules that make up the DNA. The state-of-the-art DNA sequencing technologies use advanced machines and computer programs to rapidly read and analyze large amounts …
This is another addition to the series of machine learning (ML) interview questions and answers that have been published on this website. What are Sigmoid function and softmax functions? Explain the difference Sigmoid and softmax functions are functions used for the classification tasks in machine learning and deep learning. Both Sigmoid function and softmax function …
Emotional intelligence can be understood as an ability to know our own emotions and being able to handle it in the best ways. Studies revealed intelligent quotients contribute 20 % of success in our life whereas 80% comes from our emotional intelligence. Emotional intelligence helps people to stay calm and hopeful when a difficult situation …
Introduction The FASTA file format is a widely used text-based file format for storing biological sequence information, such as DNA and protein sequences. It was developed in the early 1980s by William Pearson and David Lipman, and it has since become the de facto standard for sequence data storage and exchange. In this article, we …
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 …
Logistic Regression for Classification in Machine Learning Read More »
Overview Materials science is a field of study that involves the research and discovery of new materials and its functional properties for applications in electronic storage devices, biomedical instrumentation, telecommunication equipment etc. The applications of material science spans from designing of products by exploiting its material properties to the manufacture of products which can contribute …
Computational Prediction of Electronegativity Difference with Radius in Perovskites Read More »
The K-nearest neighbor (KNN) is a supervised machine learning algorithm. KNN is used mostly to classify data points although it can perform regression as well. The K-Nearest Neighbors Algorithm classify new data points to a particular category based on its similarity with the other data points in that category. The KNN algorithms grab the freedom …
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 …
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 …
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 …