Welcome to the series “How to integrate data science in your organization”. This series is intended to provide bite-size articles on integrating data science in any organization, without loss of generality. I’m eager at least as you are to jump in and start this journey. However, I believe this series…

Whether you work in a startup, a medium company, or a large one, you probably heard about data science and the benefits you can yield from it. Improving marketing, CRM, product… so many possibilities. You probably have some data operation going on. Logging, BI, some business analytics. But the next…

A deep-dive into image forensics: the effort of telling apart real images from fake ones — It is common knowledge nowadays, that it’s hard to tell real media from fake. May it be text, audio, video or images. Each type of media has it’s own forgery methods. And while faking texts is (still) mostly done in the old fashioned way, faking images and videos have taken…

tl;dr — I went from experimenting with mapping libraries to building a reusable mapping app. This is how I did it and how you can re-use it. Intro As a data scientist, most of my work stays behind the scenes. …

Self Supervised learning: generative approaches — Intro In the previous post, we’ve discussed some self supervised learning articles, along with some attempts to strive towards the “holy grail”: exploiting the almost unlimited number of un-annotated images available wherever to generalize for other tasks. And hopefully, get closer to the currently unmet benchmark of ImageNet pre-training. Surprisingly, or…

An intro to self supervised learning — Deep learning has truly reshuffled things in machine learning field, and specifically in image recognition tasks. In 2012, Alex-net has initiated a (still far from ending) race towards solving, or at least significantly improving, computer vision tasks. …

Want to learn more? visit www.Shibumi-ai.com Read here the revisited version of this post Intro OCR, or optical character recognition, is one of the earliest addressed computer vision tasks, since in some aspects it does not require deep learning. …

Part 1: The Chatbot Paradigm — This article is part of “NLP for chatbots” series: The Chatbot Paradigm (this post) How To build a chatbot using rasa NLU How to build and improve a chat bot using Rasa Core Going deeper: adding components to Rasa NLU I started writing this post as standalone, but quickly it…

This post describes our work and research on the greenScreen.AI. We’ll be happy to hear thoughts and comments -On Twitter, Linkedin Also check out our website — www.shibumi-ai.com Intro Throughout the last few years in machine learning, I’ve always wanted to build real machine learning products. A few months ago, after taking…