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 task transfer to solve data driven problems
So, welcome to the blog, we covered some interesting topics in the last 10 weeks, and this article is no different. today we are going to talk about a techinuqe…
using markov decision process (MDP) to create a policy – hands on – python example
Hello there, i hope you got to read our reinforcement learning (RL) series, some of you have approached us and asked for an example of how you could use the…
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…