American Community Survey data in R
I met up with an old grad school friend a few weeks back. He’s an accomplished professor of demography, basically the statistical study of populations, particularly… Read More »American Community Survey data in R
I met up with an old grad school friend a few weeks back. He’s an accomplished professor of demography, basically the statistical study of populations, particularly… Read More »American Community Survey data in R
The problem this blockchain project is trying to solve is allowing a number of people to create a knowledge product in a decentralized way, without… Read More »Using blockchain to create knowledge products in a decentralized and transparent way: Justification and roadmap
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »27 Great Resources About Logistic Regression
Guest blog by Jim Frost. Regression analysis mathematically describes the relationship between a set of independent variables and a dependent variable. There are numerous types of regression models that… Read More »Choosing the Correct Type of Regression Analysis
Recently Google DeepMind announced AlphaGo Zero — an extraordinary achievement that has shown how it is possible to train an agent to a superhuman level in the… Read More »Deep Learning: AlphaGo Zero Explained In One Picture
Following the original observations of Neural Networks in action; I decided a follow up was needed. In the original blog, ; the smallest neural net… Read More »Inside the black box 2
Linear regression uses Ordinary Least square method to find the best coefficient estimates. One of the assumptions of Linear regression is that the variables are… Read More »Intuition behind Bias-Variance trade-off, Lasso and Ridge Regression
Hold on to your hats data scientists, you’re in for another wild ride. A few months ago, our beloved field of predictive analytics was taken down… Read More »Predictive Analytics Path to Mainstream Adoption
This article is intended for practitioners who might not necessarily be statisticians or statistically-savvy. The mathematical level is kept as simple as possible, yet I… Read More »Stochastic Processes and New Tests of Randomness – Application to Cool Number Theory Problem
Making money is very easy from Restaurant but consistency on success run is the difficult part due to various factors like competitors, customer needs in… Read More »Portray Business Plan from Data with Science – “Restaurant”