Before getting into building the blockchain, you need to understand some of the basics of blockchain. As the name suggests, A Blockchain is a “chain of Blocks”. Each block contains a “Block Number”, “Nonce”, “Information (data)” where particular transaction takes place, “Previous Hash” and, “hash”. All the Blocks in the…

From Blockchain introduction to working, types, characteristics and learning new terms related to Blockchain technology Introduction to Blockchain Blockchain always seems to be complicated, but it’s quite a simple technique. Blockchain is a database, which was invented by a person (or group of people) using the name Satoshi Nakamoto in 2008 to serve…

A step-by-step explanation on performing Customer Segmentation in Online Retail dataset using python, focussing on cohort analysis. — In this article, I am going to tell about how to carry out customer segmentation and other related analysis on online retail data using python. Let’s Understand what is Customer Segmentation It is a practice of dividing a customer base into groups of individuals that are similar in specific ways…

The name itself says “Pixel to Pixel” which means, in an image it takes a pixel, then convert that into another pixel. The goal of this model is to convert from one image to another image, in other words the goal is to learn the mapping from an input image…

In this article, you will learn about GloVe, a very powerful word vector learning technique. In this work we present a step-by-step implementation of training a Language Model (LM), using Long Short-Term Memory (LSTM) and pre-trained GloVe word embeddings. Language Modeling is an important task in many Natural Language Processing…

Data preparation is required when working with neural network and deep learning models. Increasingly data augmentation is also required on more complex object recognition tasks. Data augmentation means to increase the amount of data. In, other words, having a larger dataset means a more robust model. …

Aim Building machine learning models that produce high accuracy is getting easier, but when it comes to interpretability, most of them are still far from good. In many cases, you might need to put more emphasis on understanding the models than accuracy. As a powerful yet simple technique, generalized additive model…

Those who are not familiar with “CAPTACHA” these are weird little quizzes you end up taking while landing on a website where you have to type-in jumbled sequence of words, numbers and letters to prove that you are not a bot. We’ll discuss here history behind they came to be…

The ultimate search engine would basically understand everything in the world, and it would always give you the right thing. Basically, it works like a semantic search which refers to search process: understanding the query, instead of simply finding literal matches,or representing knowledge in a way suitable for meaningful retrieval. …