We have published seven modules of interview questions in machine learning and answers so far on this website. This is yet another addition to the series of discussion on frequently asked questions in machine learning job roles. Whether stochastic gradient descent or gradient descent is computationally complex? Gradient descent is computationally complex. After identifying a …
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 …
Hello World, In this article let us take a look at the process of matrix multiplication from a different perspective. Often matrix multiplication is taught or learned as a boring process of certain rules. This spoils the fun of doing it. So why don’t we look for better way to think about it by having …
Transcription factors are proteins that play a crucial role in gene expression, which is the process by which genes are turned on or off in cells. These proteins bind to specific DNA sequences in the promoter region of a gene and regulate the transcription of that gene into RNA, which is then used to make …
Ensemble models in machine learning combine the output of multiple models to build a better performing model as compared to the individual models. The individual models whose output are used for the process of ensemble modeling are called baseline models or base estimators. The objective behind this approach of ensemble learning is to alleviate the …
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 …
Recognising Songs of Endangered Bird Species from Kerala using Deep Learning Techniques Read More »
UniProt is a powerful online database that contains information on millions of proteins found in living organisms. It is an essential tool for researchers, students, and anyone interested in the study of life sciences. In this article, we will explain what UniProt is, how it works, and its significance in the world of biological research. …
In bioinformatics, the BED file format is a commonly used file format for storing genomic data. BED stands for “Browser Extensible Data,” and it is used to represent annotation and other data for a genome region. In this blog post, we will explore the BED file format and its applications in bioinformatics. What is a …
Decision tree is a non-parametric supervised machine learning algorithm which makes use of a tree like structure to make decisions. Decision tree algorithms can be used for both classification and regression though it is mostly meant for classification tasks. Decision trees consist of three types of nodes such as root node, leaf nodes and decision …