Next Generation Automated Machine Learning (AML)
Summary: Automated Machine Learning has only been around for a little over two years and already there are over 20 providers in this space. However, a new European AM...
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27 Great Resources About Logistic Regression
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, c...
Choosing the Correct Type of Regression Analysis
Guest blog by Jim Frost. Regression analysis mathematically describes the relationship between a set of independent variables and a dependent variable. There are nume...
Deep Learning: AlphaGo Zero Explained In One Picture
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 high...
Inside the black box 2
Following the original observations of Neural Networks in action; I decided a follow up was needed. In the original blog, ; the smallest neural net (NN) that learnt the...
Intuition behind Bias-Variance trade-off, Lasso and Ridge Regression
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 not corr...
Predictive Analytics Path to Mainstream Adoption
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 a peg by the ...
Stochastic Processes and New Tests of Randomness – Application to Cool Number Theory Problem
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 ...
Soccer and Machine Learning: 2 hot topics for 2018
How good is a certain soccer player? Let’s find out applying Machine Learning to Fifa 18! I’m sure you’ve probably heard about the 2018 FIFA Football World Cup in R...
13 Great Articles About K-Nearest-Neighbors And Related Algorithms
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...