Optimization – Gradients Overview
Optimization methods are an integral part of the training process of Deep neural networks, but most are using them as black box optimizers. This occurs because lack of practical knowledge…
One-Shot Learning
One of the challenges of face recognition is solving the "One shot learning" problem – recognizing a person using one example of his face. As we all know "conventional" supervised…
The Effect of machine learning algorithms Advancement Level over their performance when solving Business Analytics problems – part 2
In the last article we saw the experimental design of our experiment. In this article we will see how we dealt with one of our greatest confounding variables, the preprocessing…
The Effect of machine learning algorithms Advancement Level over their performance when solving Business Analytics problems – part 1
academic research - introductionThe Effect of machine learning algorithms Advancement Level over their performance when solving Business Analytics problems October 2019 Yossi HohashviliAcademic adviser: Adir Even, PhD, Ben-Gurion university of the NegevAdditional adviser:…
using custom transformers in your machine learning pipelines with scikit-learn
Hey there, are you a data scientist or a data analyst? if you are, I bet you’ve heard of the "scikit-learn" library, and probably it is one of your primary…
Social Network Analysis (SNA) In A Connected World
We are all connected, no matter if you want to or not, you probably been interacting with some other individual in the course of your life. In fact, the average…
Not Anything That glitters Is Gold
Let me know if you had this issue before, you a business problem which is data driven, so you think approaching the problem with a data driven solution. You start…