23 sources of data bias for #machinelearning and #deeplearning
In the paper A survey on bias and fairness in machine learning.- the authors outline 23 types of bias in data for machinelearning. The source is good – so below is an...
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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...
Racial Bias in Modeling – Not as Simple as You Might Think
Summary: Bias in modeling has long been a public concern that is now amplified and focused on the disparate treatment models may cause for African Americans. Defining...
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...
Getting Historical Data from Yahoo Finance in R
Yahoo Finance (below) is a website that gives us a good deal of information about the financial market, including information about stock trading. To get the numbers for...
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 ...
How Big Data is Responsible for Advanced App Development
According to a survey the number of mobile users worldwide from 2019 to 2023 will grow at a rapid pace. For 2020, the number of mobile users worldwide is forecast to grow...