Introduction When Bitcoin becomes the financial trend of the last few years, it is indisputable that many researchers and analysts seek to demystify this piece of technology as it conquers our daily financial lives. …

Introduction I remember when I started studying machine learning and saw this countless parameters, the first question jumped in my head, How can I find the exact needed value? at first I thought its a secret recipe private to a experienced deep learning practitioner. …

Abstract Machine learning is the fastest growing research subject, it is exactly what catches my attention as it does all over the world and in most fields: Industry, Medicine, Commerce, Real estate… It is the path and the title of every successful business out there. But the lack of data remains…

Introduction The ImageNet Large Scale Visual Recognition Challenge — LSVRC described like one of the most known challenge in machine learning community, where many of university teams, researchers, and laboratories compete for the best Machine learning model capable recognizing set of high resolution images. …

Introduction In this article I try to give a quick overview of the optimization techniques in machine learning. This useful mechanics to build a robust, fast and efficient model. Feature scaling The name of this normalization method is quite obvious which refers to scale variable to be in the same range. It’s a…

Introduction Activation function is the main computation core behind the artificial intelligence mostly for the Neural Network, and today will try to overview some of them by giving a short introduction and a clear example of the usual use case. Binary step function The Binary step function or the “Heaviside step function”, Is a…

Typing the name of a web page and waiting a response back is our daily use of the internet and cover almost all our activities, between paying our bills asking for help and how to do this or that, reviewing our friends activities, and a lot more. But knowing what…

Recently, I participated in a brief discussion with my grandfather about “Machine learning”, the man hears a lot of trends in the media lately and he feels lost and ashamed of his ignorance about it. Good news for him, I take a good introduction in Holberton school on the subject…

Introduction Everyone knows what’s an object, it’s a “thing” we can feel it and we can sense. In computer science not much different coming to data, they are “things” we can carries, transfers, stores and even deletes them. In Python there is a very known slogan that says everything is object…