IoT in Agriculture: A Bonus for All your Farming Activities
How great would it be to monitor your fields remotely through a smart gadget? The Internet of Things is defining the new present and future of the farming world. It is po...
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The Next Big Thing in AI/ML is…
Summary: AI/ML itself is the next big thing for many fields if you’re on the outside looking in. But if you’re a data scientist it’s possible to see those advan...
Adding Uncertainty to Deep Learning
This article was written by Motoki Wu. Full title: How to construct prediction intervals for deep learning models using Edward and TensorFlow. Edward and Tensorflow. Sou...
Math vs. Statistics in One Picture
Math and statistics are vital components of any data scientist’s tool box. While some view statistics as a type of math, the reality is that they are completely dif...
The other key slide of your quarterly analysis
Profit analysis is an integral part of analysis drills, which are conducted at regular frequency. Both finance and marketing departments are equally engaged in this activ...
QC Paulinesia, !(yet another book about quantum computing)
Today I uploaded to github the first version of my book “QC Paulinesia” about Quantum Computing. The title is a play on the surname of the famous quantum scientist Wo...
Warehouse Management System Benefits
The supply chain management software market is divided into several branches by types of industries, products and regions it serves for. It is segmented into consumer goo...
Using Neural Networks to Predict Cimate Change, Droughts, and Conflict Displacements
The Problem Millions of people are forced to leave their current area of residence or community due to resource shortage and natural disasters such as droughts, floods. O...
Generative Adversarial Networks (GANs) & Bayesian Networks
Generative Adversarial Networks (GANs) software is software for producing forgeries and imitations of data (aka synthetic data, fake data). Human beings have been making ...
Introduction to Gradient Decent
The gradient decent approach is used in many algorithms to minimize loss functions. In this introduction we will see how exactly a gradient descent works. In addition, so...