Defining neural network architecture is a key step in deep learning. A lot of decisions have to be made regarding the architecture, number of nodes, activations function, regularization etc. One of the the important aspect is combining multiple inputs parallely and passing it to the next layer. This is done using the Functional API of …
A lot of useful applications of machine learning use deep learning as the backbone technology. Deep learning is the key reason behind the second wave of AI we see these days. A deep learning engineer solving various problems might be using various deep learning libraries on a day to day basis. Tensorflow and Keras are …
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 …
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In this article I will show you how to create common python plots using Python programming language and dummy data. People from Science, Technology, Engineering and Medicine (STEM) fields often have to deal with scientific charts and graphs. They might use it to communicate their findings as well as learn the latest findings from their …
This article describes a set of free PDF splitting and merging tools which is available offline. During our job or studies, we often process PDF files and images. These tasks include PDF merging, splitting, page removal, file size reduction, image cropping, etc. When you send an application out you might need your passport size photogram …
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 …
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 …
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 …
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 …