The book titled “Rejection Proof” is written by Jia Jiang. The author had great entrepreneurial aspirations but got stuck to achieve his dreams by the fear of rejection. The author decided to overcome the fear of rejection and in order to achieve it, he designed a plan to take up a challenge he named “100 …
Rethink Rejection and Overcome Fear of Rejection: Book Review of Rejection Proof Read More »
Statistical testing methods are used in machine learning to ensure that a finding is statistically significant. Hypothesis testing most commonly termed statistical testing evaluates two mutually exclusive statements about a population and determines which among the two statements best describe the experimental/sample data. Hypothesis testing is a statistical method to determine whether two samples have …
This article is a review of a pre-release copy of the book “Wrong Fit, Right Fit” written by Dr. Andre C Martin. The book rightly communicates a right fit is similar to that of writing with our dominant hand, it is easy, almost automatic, and results in a readable sentence. On the contrary, the wrong …
An activation function in deep learning is a nonlinear transformation applied to the node output before passing it to the consequent layers in neural networks. Artificial Neural Networks (ANN) consist of multiple layers interconnected. Mainly there will be an input layer, output layer and one or more hidden layers. Inspired by the biological neural networks, …
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 …
Sputtering is a physical vapour deposition (PVD) method use for thin film growth. Like any other physical vapour deposition, sputtering involves the deposition of an atom, ion or molecule corresponding to a target material onto the substrate. Sputtering employs electrical generation of plasma between the target material, which is the material to be deposited and …
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 …
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 »
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 …