In today's fast-paced digital world, managing and processing large amounts of information can be a challenging task. Whether you're a student, researcher, or just someone who spends a lot of time online, being able to quickly and easily access and understand important information is key to being productive and efficient.
The amount of information that we consume is growing every day. As a consequence, we need mechanisms to compress this growing amount of information. Text summarization is a tool for compressing written text and has been used for ages. At this moment, the amount of information is growing exponentially as
The Multi-Armed Bandit problem is a classical Reinforcement Learning that shows the exploration-exploitation trade-off. In this tutorial, we will look at the problem of advertorial design and we will answer the following question: what advertorials will lead to the highest gains? Suppose we have an advertorial with a few parameters:
In this blog post, you will learn how to implement a Pedestrian Detection algorithm using PyTorch. Computer vision is a field of computer science that applies artificial intelligence models to understand, reason with as well as synthesize visual information. This visual information is usually in the form of a two-dimensional
It is often seen that projects overshoot their normal completion data by at least three times most probably owing to shifting goals, inefficient approaches towards data collection and exploring various solution paths among others. A closer scrutiny often reveals that the delay was avoidable had there been a more disciplined
Mathematics is the study of measurement, properties and relationships of quantities and sets, using numbers and symbols. In other words, we can say that Mathematics is the study of numbers & their calculations. It is used by all the individuals in their everyday life. It is essential in many fields, including
This tutorial is a practical guide which helps you to create Neural Networks in Chainer. The focus is not on the architecture of the networks (more about Neural Network architectures is found in this post [https://www.data-blogger.com/2017/02/26/artificial-neural-nets-a-gentle-introduction/] ), but it is focused on creating a