© 2022 Hashnode

#research

Introduction "Ready to finally put your dulcet tones to good use? Look no further than the world of speech recognition!" Speech recognition is a technology that allows computers to interpret and tra…

So you've extracted data from the website, now what? What about a little data visualization experiment, the one involving an early morning bicycle ride through Paris? In this case study, a data scient…

The purpose of an activation layer is to add some non-linearity to the network. This allows expressing much more complex tasks with our networks. But why do we generally use functions that have a low/zero less than zero component and a nea…

The Google File System(GFS) is a distributed file system created by google for large distributed data-intensive applications. Unlike HDFS (Hadoop Distributed File System) which is open source, GFS is …

You just got admitted to study STATISTICS or you are currently studying STATISTICS and you are wondering how to go about it ?, You are tired of hearing statistics is same as mathematics?, then follow me here. You really what to understa…

Imagine this, you built an e-commerce website that has become very popular. Now it's time for a huge sale. Your website gets a lot more traffic than usual which means the resource usage is also high. …

¿Alguna vez te ha pasado que entras a interactuar en una página y consigues que todo está tan claro y fluyen los procesos tan bien que parece como si siempre hubieses usado esa página? Pues te cuento …

I wanted to try implementing previous work nn + polynomial solvers against a larger problem, in this case MNIST. For anyone hopping in here, I'm exploring adapting neural networks to use polynomial solvers instead of gradient descent. I'm …

Introduction As you move on from working on production grade machine learning projects to the field of research, you get a glimpse of what companies or team of brilliant minds work on. After wrapping…

This approach doesn't seem to produce good results. The idea is to create a neural network completely from polynomials (doesn't really require much), differentiate it and solve for critical points. Use the critical points to quickly find t…